docsf.html

<h3>data, learning, algorithm</h3>
<ul>
   <li>(11.85) RW</li>
   <li>(11.49) (Information_Science_and_Statistics)Christopher_M._Bishop-Pattern_Recognition_and_Machine_Learning-Springer(2007)</li>
   <li>(8.58) ESLII_print5</li>
   <li>(6.89) Joseph_Keshet,_Samy_Bengio-Automatic_Speech_And_Speaker_Recognition-Wiley(2009)</li>
   <li>(5.09) 639010</li>
   <li>(3.87) ftml</li>
   <li>(3.76) ftml_book</li>
   <li>(3.61) Bayesian Reasoning and Machine Learning</li>
   <li>(3.53) steve_thesis</li>
   <li>(3.04) Kat_Hempstalk</li>
   <li>(2.8) bengio-lecun-07</li>
   <li>(2.73) 10.1.1.95.5853</li>
   <li>(2.64) 1210.5840v1</li>
   <li>(2.63) irbookonlinereading</li>
   <li>(2.59) EECS-2010-71</li>
   <li>(2.58) thebook</li>
   <li>(2.41) lecun-06</li>
   <li>(2.21) DS-2007-01.text</li>
   <li>(2.19) stat928_notes</li>
   <li>(2.1) vincent10a</li>
   <li>(2.03) Tzvetan_Metodi,_Frederic_Chong,_Arvin_Faruque-Quantum_Computing_for_Computer_Architects_(Synthesis_Lectures_on_Computer_Architecture)-Morgan_&_Claypool_Publishers(2011)</li>
   <li>(2.01) RLAlgsInMDPs-lecture</li>
   <li>(2.0) KondorThesis</li>
   <li>(1.99) (Cambridge_Monographs_on_Applied_and_Computational_Mathematics_)Afra_J._Zomorodian-Topology_for_Computing-Cambridge_University_Press(2009)</li>
   <li>(1.95) (Cambridge_Monographs_on_Applied_and_Computational_Mathematics___)Sumio_Watanabe-Algebraic_geometry_and_statistical_learning_theory-CUP(2009)</li>
   <li>(1.95) kolter07a</li>
   <li>(1.93) euclid.ss.1009213726</li>
   <li>(1.92) Wright2007-TR</li>
   <li>(1.91) OReilly Learning OpenCV</li>
   <li>(1.9) IntroMLBook</li>
   <li>(1.87) (Synthesis_Lectures_on_Computer_Architecture)Tzvetan_S._Metodi,_Frederic_T._Chong-Quantum_Computing_for_Computer_Architects-Morgan_and_Claypool_Publishers(2006)</li>
   <li>(1.86) emcat-mlj99</li>
   <li>(1.83) live-1491-2335-jair</li>
   <li>(1.77) bayesclass</li>
   <li>(1.73) F_Strong_SQD_0212</li>
   <li>(1.72) hartemink05.pami</li>
   <li>(1.69) langford09a</li>
   <li>(1.67) nccd (1)</li>
   <li>(1.67) Paolo Gibilisco, Eva Riccomagno, Maria Piera Rogantin, Henry P. Wynn-Algebraic and geometric methods in statistics-Cambridge University Press (2009)</li>
   <li>(1.66) nccd</li>
   <li>(1.65) Toby_Segaran-Programming_Collective_Intelligence__Building_Smart_Web_2.0_Applications-O'Reilly_Media(2007) (1)</li>
   <li>(1.53) ADA330965</li>
   <li>(1.52) [Christine_Orengo,_David_Jones,_Janet_Thornton]_Bi(BookFi.org)</li>
   <li>(1.48) Ma2007-PAMI</li>
   <li>(1.43) 2010-10</li>
   <li>(1.43) 0406077v1</li>
   <li>(1.43) 0406077v1 (1)</li>
   <li>(1.41) RTGuyMSThesis</li>
   <li>(1.4) HPL-2004-76</li>
   <li>(1.39) Richard_E._Neapolitan-Probabilistic_Methods_for_Bioinformatics__with_an_Introduction_to_Bayesian_Networks-Morgan_Kaufmann(2009)</li>
   <li>(1.37) combined-ranking-and-regression</li>
   <li>(1.36) RW5</li>
   <li>(1.35) dm08_54_Rao</li>
   <li>(1.35) ratliff07a_cropped</li>
   <li>(1.34) cluster_survey_10_02_00</li>
   <li>(1.34) online-NMF</li>
   <li>(1.32) semisup-em</li>
   <li>(1.3) kernels_lecture_uqelec3002</li>
   <li>(1.28) 1202.6562</li>
   <li>(1.26) ictai11</li>
   <li>(1.25) cols</li>
   <li>(1.23) InTech-Genetic_programming_and_boosting_technique_to_improve_time_series_forecasting</li>
   <li>(1.21) YaroshinskyES04</li>
   <li>(1.2) cacm12</li>
   <li>(1.18) 10.1.1.183.534</li>
   <li>(1.18) mdlintro</li>
   <li>(1.17) 1011.4088</li>
   <li>(1.16) 1011.4088v1</li>
   <li>(1.15) book_1</li>
   <li>(1.12) crftutv2</li>
   <li>(1.11) SVM_Reference</li>
   <li>(1.11) http___www.biomedcentral.com_content_pdf_1471-2105-7-514</li>
   <li>(1.1) short_introduction_to_model_selection</li>
   <li>(1.09) icml04-l1l2</li>
   <li>(1.09) hamlet-kdd03</li>
   <li>(1.09) 1103.4904v1</li>
   <li>(1.08) p619-feldman(1)</li>
   <li>(1.07) p619-feldman</li>
   <li>(1.06) kushchupaper111</li>
   <li>(1.06) CalcEmerg1_46</li>
   <li>(1.03) Information Theory, Inference, and Learning Algorithms</li>
   <li>(1.02) InDefenceOfNN_CVPR08</li>
   <li>(1.02) Yang2007-CVIU</li>
   <li>(1.02) Transforming Classifier Scores into Accurate Multiclass Probability Estimates</li>
   <li>(1.0) bottou</li>
   <li>(1.0) PhamDN05-kmeans</li>
   <li>(1.0) 10.1.1.167.8462</li>
   <li>(0.97) regret-chapter</li>
   <li>(0.95) Primal Estimated sub-GrAdient SOlver for SVM</li>
   <li>(0.95) ShalevSiSr07</li>
   <li>(0.94) ARTICLE.SEQUENTIAL.K-MEDIANSk.V3.2011</li>
   <li>(0.93) cvpr06</li>
   <li>(0.93) eldardiry-neville-cikm2012</li>
   <li>(0.92) 2013a_panousi</li>
   <li>(0.91) 1302.4922</li>
   <li>(0.91) trend</li>
   <li>(0.91) dist</li>
   <li>(0.9) dist (1)</li>
   <li>(0.9) ssi-cikm</li>
   <li>(0.89) blum</li>
   <li>(0.89) evolvability-2008</li>
   <li>(0.89) 10.1.1.155.1937</li>
   <li>(0.88) 10.1.1.4.3804</li>
   <li>(0.87) BCS_preprint</li>
   <li>(0.86) graph_ssl_acl12_tutorial_slides_final</li>
   <li>(0.85) leistner_olcv_09</li>
   <li>(0.85) minimumdescriptionlength</li>
   <li>(0.84) 1687-4153-2008-482090</li>
   <li>(0.84) 10.1.1.51.6489</li>
   <li>(0.84) gregor-icml-10</li>
   <li>(0.84) CSDA</li>
   <li>(0.84) 2003_MSc_Karpov_Evgeny</li>
   <li>(0.83) 5087-22234-1-PB</li>
   <li>(0.83) NMFscweb</li>
   <li>(0.83) 1302.4245v2</li>
   <li>(0.83) andrieu03introduction</li>
   <li>(0.83) 1206.1106v1</li>
   <li>(0.83) 0969</li>
   <li>(0.83) 0210025v3</li>
   <li>(0.83) SNN-SSDBM2010-preprint</li>
   <li>(0.82) main</li>
   <li>(0.82) Phillip_Kaye,_Raymond_Laflamme,_Michele_Mosca-An_introduction_to_quantum_computing-Oxford_University_Press,_USA(2007)</li>
   <li>(0.82) huang11a</li>
   <li>(0.82) shmat_oak08netflix (1)</li>
   <li>(0.82) shmat_oak08netflix</li>
   <li>(0.82) turbulance in financial markets cascade</li>
   <li>(0.81) nmf_kdd11</li>
   <li>(0.81) 410674</li>
   <li>(0.8) SGFS_ICML12_v12_cameraready</li>
   <li>(0.8) poli_2006_AIJ</li>
   <li>(0.79) randproj_kdd</li>
   <li>(0.79) 0262017180chap1</li>
   <li>(0.79) eastep-smart-data-structures-icac11</li>
   <li>(0.79) 1471-2105-11-58</li>
   <li>(0.79) recombination-K11</li>
   <li>(0.79) recombination-K11 (1)</li>
   <li>(0.79) LinRossYagnik_CVPR2010</li>
   <li>(0.78) gecco2009largegbmltutorial-090715163244-phpapp01</li>
   <li>(0.78) ismet_iscis</li>
   <li>(0.78) Proceedings of the IEEE Volume 63 issue 4 1975 [doi 10.1109%2Fproc.1975.9792] Makhoul, J. -- Linear prediction- A tutorial review (1)</li>
   <li>(0.77) CEtutorial</li>
   <li>(0.77) Boissy_etal</li>
   <li>(0.76) decisionForests_MSR_TR_2011_114</li>
   <li>(0.76) 1103.0398v1</li>
   <li>(0.75) online</li>
   <li>(0.74) boost</li>
   <li>(0.74) crf-tutorial</li>
   <li>(0.74) mobide10</li>
   <li>(0.73) md_ml_jcss</li>
   <li>(0.73) MWsurvey</li>
   <li>(0.72) nmf</li>
   <li>(0.72) FODAVA-11-01</li>
   <li>(0.72) 131855</li>
   <li>(0.72) online regression RKHS</li>
   <li>(0.72) 10.1.1.13.5595</li>
   <li>(0.72) 10.1.1.186.410</li>
   <li>(0.72) 0511058v2</li>
   <li>(0.72) info</li>
   <li>(0.72) tibp</li>
   <li>(0.71) Wood-INBR-2008</li>
   <li>(0.71) guide</li>
   <li>(0.7) 10.1.1.104.5859</li>
   <li>(0.7) cdmiguel</li>
   <li>(0.7) Panov08Combining</li>
   <li>(0.69) www.lsi.us.es_iberamia2002_confman_SUBMISSIONS_102-osetesuure</li>
   <li>(0.69) 10.1.1.26.8709 (1)</li>
   <li>(0.69) 10.1.1.26.8709</li>
   <li>(0.69) cs229-notes1</li>
   <li>(0.69) hashkernel_aistats</li>
   <li>(0.68) ICDE99</li>
   <li>(0.68) On_the_Surprising_Behavior_of_Distance_Metric_in_High_Dimensional_Space</li>
   <li>(0.68) 10.1007_s00422-012-0490-x</li>
   <li>(0.68) eurosys84-nightingale</li>
   <li>(0.68) Epp-SODA-98</li>
   <li>(0.68) 10.1.1.93.7432</li>
   <li>(0.67) WebbBrain02</li>
   <li>(0.67) 273</li>
   <li>(0.66) icml09</li>
   <li>(0.65) HoffmanBleiBach2010b</li>
   <li>(0.65) WelTeh2011a</li>
   <li>(0.65) ReportIIIA-TR-2003-04</li>
   <li>(0.65) 9ac08cfd_2002_Learning statistically efficient features for speaker recognition</li>
   <li>(0.65) compstat-2010</li>
   <li>(0.65) 353</li>
   <li>(0.65) ReportIIIA-TR-2003-10</li>
   <li>(0.65) Kotsia07b</li>
   <li>(0.64) Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy Kuncheva</li>
   <li>(0.64) HPL-2008-91R1</li>
   <li>(0.64) 36928</li>
   <li>(0.63) SocherBengioManning-DeepLearning-ACL2012-20120707-NoMargin</li>
   <li>(0.63) 1106.2697v2</li>
   <li>(0.63) 1106.2697v2 (1)</li>
   <li>(0.63) asplos291-schkufza</li>
   <li>(0.63) LANG-RNN</li>
   <li>(0.63) bnt_01a</li>
   <li>(0.62) 1303.1152v1</li>
   <li>(0.62) 10.1.1.31.9112</li>
   <li>(0.62) biostats-utmdabtr-012-04</li>
   <li>(0.62) ratliff07a</li>
   <li>(0.61) uai2012-matrix</li>
   <li>(0.61) 10.1.1.110.8303</li>
   <li>(0.61) cluster</li>
   <li>(0.61) p117-andoni</li>
   <li>(0.6) 573107</li>
   <li>(0.6) 10.1.1.149.6189</li>
   <li>(0.6) Weinbergeretal09</li>
   <li>(0.6) CoherentStructures</li>
   <li>(0.6) 1301.3781</li>
   <li>(0.6) NIPS2003_AA36</li>
   <li>(0.59) 10.1.1.100.2425</li>
</ul>

<h3>theory, such, one, more, press, new</h3>
<ul>
   <li>(26.04) (Cambridge_Handbooks_in_Psychology_)Robert_J._Sternberg,_Scott_Barry_Kaufman_(editors)-The_Cambridge_Handbook_of_Intelligence__-Cambridge_University_Press(2011)</li>
   <li>(24.37) 1301.1648</li>
   <li>(10.38) Dean Keith Simonton-Origins of Genius_ Darwinian Perspectives on Creativity-Oxford University Press, USA (1999)</li>
   <li>(9.54) 0521899575</li>
   <li>(9.53) Practical Logic and Automated Reasoning</li>
   <li>(8.19) (Educational_Psychology_Series_)Larisa_V._Shavinina,_Michel_Ferrari-Beyond_Knowledge__Extracognitive_Aspects_of_Developing_High_Ability-Routledge(2004)</li>
   <li>(6.58) Pier_L_Lanzi_Learning_Classifier_Systems_389416</li>
   <li>(5.41) Augmenting Human Intellect_ A Conceptual Framework - 1962 (AUGMENT,3906,) - Doug Engelbart Institute</li>
   <li>(4.46) (Lecture_Notes_in_Physics_Monographs__)Paul_Busch,_Pekka_J._Lahti,_Peter_Mittelstaedt-The_Quantum_Theory_of_Measurement-Springer(1996)</li>
   <li>(4.45) Rijsbergen_C._J.-Geometry_of_Information_Retrieval(2005)</li>
   <li>(4.45) C._J._van_Rijsbergen-The_geometry_of_information_retrieval-Cambridge_University_Press(2004)</li>
   <li>(4.4) Inclusive Wealth Report 2012 - Low Resolution</li>
   <li>(4.38) Mihai_Putinar,_Seth_Sullivant-Emerging_Applications_of_Algebraic_Geometry_(The_IMA_Volumes_in_Mathematics_and_its_Applications)(2008)</li>
   <li>(4.21) Benjamin_C._Pierce-Advanced_Topics_in_Types_and_Programming_Languages-MIT(2004)</li>
   <li>(3.73) Benjamin_C._Pierce-Types_and_Programming_Languages__-The_MIT_Press(2002)</li>
   <li>(3.73) cac</li>
   <li>(3.7) Keller_Miller_MentalDisorderEvolution_2006</li>
   <li>(3.66) Quantum Information Theory - Timpson</li>
   <li>(3.65) Paolo Gibilisco, Eva Riccomagno, Maria Piera Rogantin, Henry P. Wynn-Algebraic and geometric methods in statistics-Cambridge University Press (2009)</li>
   <li>(3.64) qinfandfoundsqm</li>
   <li>(3.47) prolog-digital</li>
   <li>(3.47) Revision2OfTR11-108</li>
   <li>(3.46) 1108.1791v3</li>
   <li>(3.39) 10.1.1.87.5179</li>
   <li>(3.27) Revision1OfTR11-108</li>
   <li>(3.07) AGI-book(7-Mar-2012)</li>
   <li>(3.01) BaumeisterMasicampo2010PsychRev</li>
   <li>(2.82) rw2009-asp</li>
   <li>(2.79) 1306.0159v2</li>
   <li>(2.78) BookBody</li>
   <li>(2.66) 497 Rolls 2011 Consciousness, decision making, and neural computation</li>
   <li>(2.54) ec3b39c1597b742f41e667acc9276f2f</li>
   <li>(2.52) Rudolph_Kulhavy-Recursive_Nonlinear_Estimation__A_Geometric_Approach_(Lecture_Notes_in_Control_and_Information_Sciences)-Springer(1996)</li>
   <li>(2.48) Dean Keith Simonton-Genius 101 (Psych 101) (2009)</li>
   <li>(2.45) Bernard_Schutz-A_First_Course_in_General_Relativity-Cambridge_University_Press(2009)</li>
   <li>(2.45) main</li>
   <li>(2.29) (Bradford Books) John H. Holland-Adaptation in Natural and Artificial Systems_ An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence (A Bradford Book)-The MIT Pre</li>
   <li>(2.26) Dean_R._Spitzer-Transforming_Performance_Measurement__Rethinking_the_Way_We_Measure_and_Drive_Organizational_Success(2007)</li>
   <li>(2.21) ftml</li>
   <li>(1.98) philosophy</li>
   <li>(1.98) bmsp2037</li>
   <li>(1.93) Engineering of Lunar Bases</li>
   <li>(1.91) journal-final</li>
   <li>(1.88) RW</li>
   <li>(1.83) ftml_book</li>
   <li>(1.68) BotvinickNivBarto2008</li>
   <li>(1.57) w06</li>
   <li>(1.53) chapter1_about_this_book</li>
   <li>(1.51) Stanovich-Why-Humans-are-Sometimes-Less-Rational-Than-Animals</li>
   <li>(1.49) 1309.4501v1</li>
   <li>(1.47) Vincent T., Brown J. Evolutionary game theory, natural selection and Darwinian dynamics (CUP, 2005)(ISBN 0521841704)(401s)</li>
   <li>(1.46) Lenat_Brown-1984-why-AM-and-EURISKO-work</li>
   <li>(1.43) mdlintro</li>
   <li>(1.42) Steven S. Skiena-The Algorithm Design Manual-Springer (2008)</li>
   <li>(1.4) Marcus_Hutter-Universal_Artificial_Intelligence__Sequential_Decisions_Based_On_Algorithmic_Probability-Springer(2004)</li>
   <li>(1.39) MCMCHistory (1)</li>
   <li>(1.38) metamath</li>
   <li>(1.37) (Chapman & Hall_CRC Monographs on Statistics & Applied Probability   ) Giovanni Pistone, Eva Riccomagno, Henry P. Wynn-Algebraic statistics_ computational commutative algebra in statistics-Chapman and(1)</li>
   <li>(1.34) EverNew</li>
   <li>(1.33) comparison</li>
   <li>(1.32) 32.CombiningDistributions-Clemen&Winkler-RA-99</li>
   <li>(1.31) 32.CombiningDistributions-Clemen&Winkler-RA-99(1)</li>
</ul>

<h3>genetic, gene, genes, population, human, between, dna, selection, protein</h3>
<ul>
   <li>(32.38) [Christine_Orengo,_David_Jones,_Janet_Thornton]_Bi(BookFi.org)</li>
   <li>(26.95) Vincent T., Brown J. Evolutionary game theory, natural selection and Darwinian dynamics (CUP, 2005)(ISBN 0521841704)(401s)</li>
   <li>(13.62) 439_2013_Article_1331</li>
   <li>(12.95) Keller_Miller_MentalDisorderEvolution_2006</li>
   <li>(8.61) Richard_E._Neapolitan-Probabilistic_Methods_for_Bioinformatics__with_an_Introduction_to_Bayesian_Networks-Morgan_Kaufmann(2009)</li>
   <li>(8.49) Benjamin_Pierce-Molecular_Genetic_Analysis_and_Biotechnology._chapter_19-W._H._Freeman(2007)</li>
   <li>(6.61) (Bradford Books) John H. Holland-Adaptation in Natural and Artificial Systems_ An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence (A Bradford Book)-The MIT Pre</li>
   <li>(5.07) L. Pachter, B. Sturmfels-Algebraic Statistics for Computational Biology-Cambridge University Press (2005)(1)</li>
   <li>(5.07) L._Pachter,_B._Sturmfels-Algebraic_Statistics_for_Computational_Biology-Cambridge_University_Press(2005)</li>
   <li>(4.44) neurobook</li>
   <li>(4.38) Dean Keith Simonton-Origins of Genius_ Darwinian Perspectives on Creativity-Oxford University Press, USA (1999)</li>
   <li>(4.05) nihms227615</li>
   <li>(4.03) 401_2009_Article_619</li>
   <li>(3.9) journal.pgen.0020168</li>
   <li>(3.9) Nature Genetics Volume issue 2013 [doi 10.1038%2Fng.2804] Agarwala, Vineeta; Flannick, Jason; Sunyaev, Shamil; Altshuler, -- Evaluating empirical bounds on complex disease genetic architecture</li>
   <li>(3.78) journal.pgen.1003372</li>
   <li>(3.49) journal.pgen.1003258</li>
   <li>(3.37) e00523.full</li>
   <li>(3.21) nihms175346 (1)</li>
   <li>(3.21) nihms175346</li>
   <li>(3.1) Int. J. Epidemiol.-2011-Smith-537-62</li>
   <li>(2.94) journal.pone.0008635</li>
   <li>(2.83) DaxingerEpigenMammals2012.</li>
   <li>(2.77) 787_2010_Article_96</li>
   <li>(2.66) AJHGv69p124</li>
   <li>(2.65) Chabris2013a-WhyHardFindGenes</li>
   <li>(2.64) journal.pgen.1003295</li>
   <li>(2.6) RTGuyMSThesis</li>
   <li>(2.53) 1741-7007-9-76</li>
   <li>(2.43) 1759-8753-2-13</li>
   <li>(2.41) 12NS05</li>
   <li>(2.37) nihms454244</li>
   <li>(2.28) Rtrasposoni attivi e malattie.Hancks,2012</li>
   <li>(2.15) 1205.0883</li>
   <li>(2.08) 1-s2.0-S0168952513001674-main</li>
   <li>(1.99) journal.pone.0054673</li>
   <li>(1.92) PIIS0167779913000875</li>
   <li>(1.91) Pier_L_Lanzi_Learning_Classifier_Systems_389416</li>
   <li>(1.89) PIIS0896627312009932</li>
   <li>(1.86) 1-s2.0-S0092867404011432-main</li>
   <li>(1.85) Essentials</li>
   <li>(1.85) 7Article</li>
   <li>(1.82) nihms129048</li>
   <li>(1.76) pone.0021636</li>
   <li>(1.74) nihms263188</li>
   <li>(1.69) 401_2009_Article_601</li>
   <li>(1.68) networks-book</li>
   <li>(1.65) PIIS089662731300055X</li>
   <li>(1.64) 2-The putative neurodegenerative links</li>
   <li>(1.62) EP09207238</li>
</ul>

<h3>quantum, state</h3>
<ul>
   <li>(28.5) Tzvetan_Metodi,_Frederic_Chong,_Arvin_Faruque-Quantum_Computing_for_Computer_Architects_(Synthesis_Lectures_on_Computer_Architecture)-Morgan_&_Claypool_Publishers(2011)</li>
   <li>(26.77) Phillip_Kaye,_Raymond_Laflamme,_Michele_Mosca-An_introduction_to_quantum_computing-Oxford_University_Press,_USA(2007)</li>
   <li>(24.9) qinfandfoundsqm</li>
   <li>(24.9) Quantum Information Theory - Timpson</li>
   <li>(24.83) (Synthesis_Lectures_on_Computer_Architecture)Tzvetan_S._Metodi,_Frederic_T._Chong-Quantum_Computing_for_Computer_Architects-Morgan_and_Claypool_Publishers(2006)</li>
   <li>(21.97) David_McMahon-Quantum_Computing_Explained-Wiley-IEEE_Computer_Society_Pr(2007)</li>
   <li>(20.31) (Lecture_Notes_in_Physics_Monographs__)Paul_Busch,_Pekka_J._Lahti,_Peter_Mittelstaedt-The_Quantum_Theory_of_Measurement-Springer(1996)</li>
   <li>(9.62) 02whole</li>
   <li>(8.26) 0401052v2</li>
   <li>(8.2) 1107.5849v3</li>
   <li>(7.23) 0708.2837v2</li>
   <li>(7.03) oai_arXiv_org_quant_ph_0205039</li>
   <li>(6.88) 1111.5057v2 (1)</li>
   <li>(6.87) 1111.5057v2</li>
   <li>(6.18) VaccineQPH</li>
   <li>(5.63) Rijsbergen_C._J.-Geometry_of_Information_Retrieval(2005)</li>
   <li>(5.63) C._J._van_Rijsbergen-The_geometry_of_information_retrieval-Cambridge_University_Press(2004)</li>
   <li>(4.21) 0101012v4</li>
   <li>(4.01) 1306.0159v2</li>
   <li>(3.85) 1005.2448v1</li>
   <li>(3.59) 1305.4349v1</li>
   <li>(3.58) 1209.3632v1</li>
   <li>(3.54) 1003.5209v1</li>
   <li>(3.08) 0712.4258v2</li>
   <li>(2.48) algorithms</li>
   <li>(2.46) journal-final</li>
   <li>(2.45) 1205.0883</li>
   <li>(2.19) CalcEmerg1_46</li>
   <li>(2.12) lqplManual</li>
   <li>(1.96) Quantum Dynamics as an analog of Conditional Probability</li>
   <li>(1.72) 0104097</li>
   <li>(1.72) 1108.1791v3</li>
   <li>(1.71) Revision2OfTR11-108</li>
   <li>(1.71) Revision1OfTR11-108</li>
   <li>(1.66) Paolo Gibilisco, Eva Riccomagno, Maria Piera Rogantin, Henry P. Wynn-Algebraic and geometric methods in statistics-Cambridge University Press (2009)</li>
   <li>(1.63) 9908043v3</li>
   <li>(1.59) npcomplete</li>
   <li>(1.57) 1208.3334v1</li>
   <li>(1.48) 0301023v2</li>
   <li>(1.47) ejtpv8i25p93</li>
</ul>

<h3>one, out, it’s, know, more</h3>
<ul>
   <li>(44.51) Neal._Stephenson-Anathem-Atlantic_Books._1_Cloth(s)(2002)</li>
   <li>(20.47) Rule 34 - Stross, Charles</li>
   <li>(16.58) James_Patterson,_Howard_Roughan-You've_Been_Warned(2008)</li>
   <li>(12.7) Rapture of the Nerds</li>
   <li>(12.14) Harry_Lorayne,_Jerry_Lucas-The_Memory_Book__The_Classic_Guide_to_Improving_Your_Memory_at_Work,_at_School,_and_at_Play-Ballantine_Books(1996)</li>
   <li>(10.64) Robert_B._Cialdini-Influence__The_Psychology_of_Persuasion_(Collins_Business_Essentials)(2007)</li>
   <li>(9.48) 1209.3632v1</li>
   <li>(8.7) Judith_Orloff,_Darrell_Mullis-The_Accounting_Game__Basic_Accounting_Fresh_from_the_Lemonade_Stand,_2008_Edition-Sourcebooks,_Inc.(2008)</li>
   <li>(8.4) E._T._Jaynes,_G._Larry_Bretthorst-Probability_theory__the_logic_of_science-Cambridge_University_Press(2003)</li>
   <li>(8.11) John_A.,_CPA_Tracy-Accounting_For_Dummies,_4th_edition(2008)</li>
   <li>(7.95) Greg_Egan-Schild's_Ladder__A_Novel(2004)</li>
   <li>(7.69) Robert_B._Cialdini-Influence__Science_and_Practice_-Allyn_&_Bacon(2000)</li>
   <li>(6.53) networks-book</li>
   <li>(6.17) Kenneth_L._Higbee-Your_Memory___How_It_Works_and_How_to_Improve_It-Da_Capo_Press(2001)</li>
   <li>(5.54) Linda Nagata-Memory-Tor Books (2004)</li>
   <li>(5.43) Toby_Segaran-Programming_Collective_Intelligence__Building_Smart_Web_2.0_Applications-O'Reilly_Media(2007) (1)</li>
   <li>(5.31) 1306.0159v2</li>
   <li>(4.34) Dean Keith Simonton-Genius 101 (Psych 101) (2009)</li>
   <li>(4.31) [Rick_Rogers,_John_Lombardo,_Zigurd_Mednieks,_G._B(BookFi.org)</li>
   <li>(3.73) 1302.6946v2 (1)</li>
   <li>(3.62) 1302.6946v2</li>
   <li>(3.48) missle gap2</li>
   <li>(3.41) Practical Logic and Automated Reasoning</li>
   <li>(3.4) 0521899575</li>
   <li>(3.37) Algebra0TextboookAluffi</li>
   <li>(3.32) book_1</li>
   <li>(3.31) Information Theory, Inference, and Learning Algorithms</li>
   <li>(3.14) metamath</li>
   <li>(2.8) 87-brainscience-Greenwood</li>
   <li>(2.8) AeqB</li>
   <li>(2.66) OReilly Learning OpenCV</li>
   <li>(2.39) algorithms</li>
   <li>(2.34) bayes-with-tears</li>
   <li>(2.23) Daniel_Kahneman-Thinking,_Fast_and_Slow__</li>
</ul>

<h3>space, set</h3>
<ul>
   <li>(36.81) L._Pachter,_B._Sturmfels-Algebraic_Statistics_for_Computational_Biology-Cambridge_University_Press(2005)</li>
   <li>(36.81) L. Pachter, B. Sturmfels-Algebraic Statistics for Computational Biology-Cambridge University Press (2005)(1)</li>
   <li>(34.04) Mihai_Putinar,_Seth_Sullivant-Emerging_Applications_of_Algebraic_Geometry_(The_IMA_Volumes_in_Mathematics_and_its_Applications)(2008)</li>
   <li>(32.76) Paolo Gibilisco, Eva Riccomagno, Maria Piera Rogantin, Henry P. Wynn-Algebraic and geometric methods in statistics-Cambridge University Press (2009)</li>
   <li>(29.43) topbook</li>
   <li>(24.92) AT</li>
   <li>(12.73) (Cambridge_Monographs_on_Applied_and_Computational_Mathematics_)Afra_J._Zomorodian-Topology_for_Computing-Cambridge_University_Press(2009)</li>
   <li>(9.74) (Oberwolfach_Seminars)Mathias_Drton,_Bernd_Sturmfels,_Seth_Sullivant-Lectures_on_algebraic_statistics-Birkhäuser_Basel(2008)</li>
   <li>(8.96) entcs87</li>
   <li>(8.95) Synthetic topology</li>
   <li>(8.55) owl</li>
   <li>(7.01) Milne - AlgebraicGeometryAvecChapitres</li>
   <li>(5.86) (Cambridge_Monographs_on_Applied_and_Computational_Mathematics___)Sumio_Watanabe-Algebraic_geometry_and_statistical_learning_theory-CUP(2009)</li>
   <li>(4.02) (Chapman & Hall_CRC Monographs on Statistics & Applied Probability   ) Giovanni Pistone, Eva Riccomagno, Henry P. Wynn-Algebraic statistics_ computational commutative algebra in statistics-Chapman and(1)</li>
   <li>(3.99) zakon-basic-a4-one</li>
   <li>(3.8) KondorThesis</li>
   <li>(3.66) Steven S. Skiena-The Algorithm Design Manual-Springer (2008)</li>
   <li>(3.26) C._J._van_Rijsbergen-The_geometry_of_information_retrieval-Cambridge_University_Press(2004)</li>
   <li>(3.26) thesis</li>
   <li>(3.26) Rijsbergen_C._J.-Geometry_of_Information_Retrieval(2005)</li>
   <li>(3.24) ESLII_print5</li>
   <li>(3.01) analytic comb</li>
   <li>(2.78) measure-book1</li>
   <li>(2.6) Linear Algebra</li>
   <li>(2.55) Algebra0TextboookAluffi</li>
   <li>(2.45) GhoshalvanderVaartBook2012-Chap1-5 (1)</li>
   <li>(2.17) PhyloIdealsVarsforGM</li>
   <li>(2.13) Practical Logic and Automated Reasoning</li>
   <li>(2.11) Joseph_Keshet,_Samy_Bengio-Automatic_Speech_And_Speaker_Recognition-Wiley(2009)</li>
   <li>(2.02) RW</li>
   <li>(1.97) 2010050513555973499</li>
   <li>(1.9) 0521899575</li>
</ul>

<h3>set, category, functor</h3>
<ul>
   <li>(33.55) 1302.6946v2</li>
   <li>(33.51) 1302.6946v2 (1)</li>
   <li>(32.61) cac</li>
   <li>(25.41) JacobsCoalgebraIntro</li>
   <li>(21.11) Computational Category Theory (263 pages) - 2003 - (By Laxxuss)</li>
   <li>(16.69) Awodey, S. Category Theory</li>
   <li>(11.65) ittt</li>
   <li>(8.33) survey_full</li>
   <li>(7.75) mmf92b</li>
   <li>(7.75) gentle into to category theory</li>
   <li>(6.94) Algebra0TextboookAluffi</li>
   <li>(6.78) 10.1.1.159.2020</li>
   <li>(6.12) CTCL</li>
   <li>(5.66) entcs87</li>
   <li>(5.64) Synthetic topology</li>
   <li>(5.57) categorical programming with inductive and coinductive types</li>
   <li>(5.09) rosetta</li>
   <li>(4.72) db-utwente-0000003528 (1)</li>
   <li>(4.72) db-utwente-0000003528</li>
   <li>(4.25) 1-s2.0-S0304397502008952-main</li>
   <li>(4.24) 1-s2.0-S0304397502008952-main(1)</li>
   <li>(3.56) coalgebra</li>
   <li>(2.69) book</li>
   <li>(2.33) CMCS-journal</li>
   <li>(2.3) journal.pcbi.1000858</li>
   <li>(2.26) 1012.5647v3</li>
   <li>(2.05) measure-book1</li>
   <li>(1.86) jeltsch1904-slides</li>
</ul>

<h3>memory, more, group, information, one, system, people, task</h3>
<ul>
   <li>(50.54) Kenneth_L._Higbee-Your_Memory___How_It_Works_and_How_to_Improve_It-Da_Capo_Press(2001)</li>
   <li>(26.95) Daniel_Kahneman-Thinking,_Fast_and_Slow__</li>
   <li>(19.77) (Cambridge_Handbooks_in_Psychology_)Robert_J._Sternberg,_Scott_Barry_Kaufman_(editors)-The_Cambridge_Handbook_of_Intelligence__-Cambridge_University_Press(2011)</li>
   <li>(10.02) Robert_B._Cialdini-Influence__Science_and_Practice_-Allyn_&_Bacon(2000)</li>
   <li>(8.5) neurobook</li>
   <li>(8.39) Augmenting Human Intellect_ A Conceptual Framework - 1962 (AUGMENT,3906,) - Doug Engelbart Institute</li>
   <li>(8.17) BaumeisterMasicampo2010PsychRev</li>
   <li>(8.17) Robert_B._Cialdini-Influence__The_Psychology_of_Persuasion_(Collins_Business_Essentials)(2007)</li>
   <li>(8.16) 10.1.1.87.5179</li>
   <li>(6.3) Harry_Lorayne,_Jerry_Lucas-The_Memory_Book__The_Classic_Guide_to_Improving_Your_Memory_at_Work,_at_School,_and_at_Play-Ballantine_Books(1996)</li>
   <li>(6.22) rhodes-phd-JITIR</li>
   <li>(5.64) group versus individual performance</li>
   <li>(5.4) 497 Rolls 2011 Consciousness, decision making, and neural computation</li>
   <li>(4.84) networks-book</li>
   <li>(4.24) E._T._Jaynes,_G._Larry_Bretthorst-Probability_theory__the_logic_of_science-Cambridge_University_Press(2003)</li>
   <li>(3.3) (Educational_Psychology_Series_)Larisa_V._Shavinina,_Michel_Ferrari-Beyond_Knowledge__Extracognitive_Aspects_of_Developing_High_Ability-Routledge(2004)</li>
   <li>(3.24) Dean Keith Simonton-Origins of Genius_ Darwinian Perspectives on Creativity-Oxford University Press, USA (1999)</li>
   <li>(3.18) decisiontheory</li>
   <li>(3.07) Stephen_Few-Information_Dashboard_Design__The_Effective_Visual_Communication_of_Data-O'Reilly_Media(2006)</li>
   <li>(2.94) Kirschneretal_2008_CiHB</li>
   <li>(2.91) 9c607d9f2c39a92174ff5f61fffb30de</li>
   <li>(2.77) PIIS0896627312009919</li>
   <li>(2.61) rhodes-just-in-time-ibm-systems_cropped</li>
   <li>(2.57) Protocol-16-Procrastination</li>
</ul>

<h3>out, one, back, time, more, now, through, down</h3>
<ul>
   <li>(57.45) Neal._Stephenson-Anathem-Atlantic_Books._1_Cloth(s)(2002)</li>
   <li>(36.8) Charles Stross - Accelerando</li>
   <li>(35.93) Bruce Sterling-Schismatrix Plus (Complete Shapers-Mechanists Universe) (1996)</li>
   <li>(32.27) Linda Nagata-Memory-Tor Books (2004)</li>
   <li>(29.18) PeterWatts_Blindsight</li>
   <li>(25.85) Vernor_Vinge-Marooned_in_Realtime(2004)</li>
   <li>(22.91) Greg_Egan-Diaspora(1999)</li>
   <li>(20.98) Greg_Egan-Schild's_Ladder__A_Novel(2004)</li>
   <li>(20.57) Greg_Egan-Permutation_City(1995)</li>
   <li>(20.44) Greg_Egan-Quarantine(1999)</li>
   <li>(16.6) The Metamorphosis of Prime Intellect_ Chapter 1</li>
   <li>(14.69) incandesc</li>
   <li>(14.07) Rapture of the Nerds</li>
   <li>(10.83) Rule 34 - Stross, Charles</li>
   <li>(5.43) James_Patterson,_Howard_Roughan-You've_Been_Warned(2008)</li>
   <li>(4.87) oceanic</li>
   <li>(4.3) Harry_Lorayne,_Jerry_Lucas-The_Memory_Book__The_Classic_Guide_to_Improving_Your_Memory_at_Work,_at_School,_and_at_Play-Ballantine_Books(1996)</li>
   <li>(3.96) Riding the Crocodile</li>
   <li>(3.63) Robert_B._Cialdini-Influence__Science_and_Practice_-Allyn_&_Bacon(2000)</li>
</ul>

<h3>theorem, proof</h3>
<ul>
   <li>(51.66) NotesRGCN</li>
   <li>(21.48) measure-book1</li>
   <li>(20.26) GhoshalvanderVaartBook2012-Chap1-5 (1)</li>
   <li>(13.3) analytic comb</li>
   <li>(11.24) stat928_notes</li>
   <li>(9.81) 2010050513555973499</li>
   <li>(9.1) nonstandard probability</li>
   <li>(9.07) Radically Elementary Probability and Statistics</li>
   <li>(8.54) (Cambridge_Monographs_on_Applied_and_Computational_Mathematics___)Sumio_Watanabe-Algebraic_geometry_and_statistical_learning_theory-CUP(2009)</li>
   <li>(8.41) Glenn_Shafer,_Vladimir__Vovk-Probability_and_Finance_It's_only_a_game-Wiley-Interscience(2001)</li>
   <li>(8.3) [Michael_Mitzenmacher,_Eli_Upfal]_Probability_and_(Bookos.org)</li>
   <li>(7.61) Marcus_Hutter-Universal_Artificial_Intelligence__Sequential_Decisions_Based_On_Algorithmic_Probability-Springer(2004)</li>
   <li>(5.85) zakon-basic-a4-one</li>
   <li>(5.43) AeqB</li>
   <li>(4.4) Mihai_Putinar,_Seth_Sullivant-Emerging_Applications_of_Algebraic_Geometry_(The_IMA_Volumes_in_Mathematics_and_its_Applications)(2008)</li>
   <li>(4.27) thebook</li>
   <li>(4.15) 1209.3632v1</li>
   <li>(3.11) info</li>
   <li>(2.74) EECS-2010-71</li>
</ul>

<h3>speaker, speech, signal, recognition</h3>
<ul>
   <li>(40.11) (Signals_and_Communication_Technology____)Tobias_Herbig,_Franz_Gerl-Self-Learning_Speaker_Identification__A_System_for_Enhanced_Speech_Recognition_-Springer(2011)</li>
   <li>(36.57) Joseph_Keshet,_Samy_Bengio-Automatic_Speech_And_Speaker_Recognition-Wiley(2009)</li>
   <li>(13.95) speaker_recognition_overview</li>
   <li>(13.13) 639010</li>
   <li>(10.93) ftml_book</li>
   <li>(10.83) ftml</li>
   <li>(10.14) 2003_MSc_Karpov_Evgeny</li>
   <li>(7.47) 1103.0398v1</li>
   <li>(5.95) Campbell</li>
   <li>(5.73) Kat_Hempstalk</li>
   <li>(4.81) ddek-chapter1-2011</li>
   <li>(4.1) Proceedings of the IEEE Volume 63 issue 4 1975 [doi 10.1109%2Fproc.1975.9792] Makhoul, J. -- Linear prediction- A tutorial review (1)</li>
   <li>(3.72) bengio-lecun-07</li>
   <li>(3.61) lecun-06</li>
   <li>(3.5) vincent10a</li>
   <li>(2.74) [Christine_Orengo,_David_Jones,_Janet_Thornton]_Bi(BookFi.org)</li>
   <li>(2.62) Data Compression Explained</li>
   <li>(2.07) 11-4-5</li>
</ul>

<h3>matrix, vector, space, one</h3>
<ul>
   <li>(65.49) Wolfgang_Rindler-Relativity_-_special,_general,_and_cosmological-OUP(2006)</li>
   <li>(64.11) Gilbert_Strang-Linear_Algebra_and_Its_Applications_(4th_Edition)</li>
   <li>(55.96) Bernard_Schutz-A_First_Course_in_General_Relativity-Cambridge_University_Press(2009)</li>
   <li>(9.29) Vincent T., Brown J. Evolutionary game theory, natural selection and Darwinian dynamics (CUP, 2005)(ISBN 0521841704)(401s)</li>
   <li>(6.8) Linear Algebra</li>
   <li>(6.26) David_McMahon-Quantum_Computing_Explained-Wiley-IEEE_Computer_Society_Pr(2007)</li>
   <li>(6.11) 2010050513555973499</li>
   <li>(5.53) (Information_Science_and_Statistics)Christopher_M._Bishop-Pattern_Recognition_and_Machine_Learning-Springer(2007)</li>
   <li>(4.39) 1209.3632v1</li>
   <li>(4.19) 1212.5605v1</li>
   <li>(4.16) ESLII_print5</li>
   <li>(4.0) John_A._Vince-Geometric_algebra_for_computer_graphics-Springer(2008)</li>
   <li>(3.85) bv_cvxbook</li>
   <li>(3.82) primer_201</li>
   <li>(3.82) C._J._van_Rijsbergen-The_geometry_of_information_retrieval-Cambridge_University_Press(2004)</li>
   <li>(3.8) Rijsbergen_C._J.-Geometry_of_Information_Retrieval(2005)</li>
   <li>(3.46) E._T._Jaynes,_G._Larry_Bretthorst-Probability_theory__the_logic_of_science-Cambridge_University_Press(2003)</li>
   <li>(3.38) Bayesian Reasoning and Machine Learning</li>
</ul>

<h3>model, models</h3>
<ul>
   <li>(75.28) Bayesian Reasoning and Machine Learning</li>
   <li>(26.96) (Information_Science_and_Statistics)Christopher_M._Bishop-Pattern_Recognition_and_Machine_Learning-Springer(2007)</li>
   <li>(14.7) Paolo Gibilisco, Eva Riccomagno, Maria Piera Rogantin, Henry P. Wynn-Algebraic and geometric methods in statistics-Cambridge University Press (2009)</li>
   <li>(13.75) L._Pachter,_B._Sturmfels-Algebraic_Statistics_for_Computational_Biology-Cambridge_University_Press(2005)</li>
   <li>(13.73) L. Pachter, B. Sturmfels-Algebraic Statistics for Computational Biology-Cambridge University Press (2005)(1)</li>
   <li>(9.99) (Oberwolfach_Seminars)Mathias_Drton,_Bernd_Sturmfels,_Seth_Sullivant-Lectures_on_algebraic_statistics-Birkhäuser_Basel(2008)</li>
   <li>(8.68) owl</li>
   <li>(7.8) Information Theory, Inference, and Learning Algorithms</li>
   <li>(7.77) book_1</li>
   <li>(7.52) crftutv2</li>
   <li>(7.31) 1011.4088</li>
   <li>(7.29) 1011.4088v1</li>
   <li>(6.86) Rudolph_Kulhavy-Recursive_Nonlinear_Estimation__A_Geometric_Approach_(Lecture_Notes_in_Control_and_Information_Sciences)-Springer(1996)</li>
   <li>(5.71) ESLII_print5</li>
   <li>(4.34) Richard_E._Neapolitan-Probabilistic_Methods_for_Bioinformatics__with_an_Introduction_to_Bayesian_Networks-Morgan_Kaufmann(2009)</li>
   <li>(4.03) Joseph_Keshet,_Samy_Bengio-Automatic_Speech_And_Speaker_Recognition-Wiley(2009)</li>
</ul>

<h3>group, theorem, such, show, prove, proof, set, example</h3>
<ul>
   <li>(82.19) Algebra0TextboookAluffi</li>
   <li>(65.26) ABSTRACT AND CONCRETE algebra</li>
   <li>(37.61) Abstract Algebra book</li>
   <li>(17.86) Elements of Abstract and Linear Algebra</li>
   <li>(17.86) Abstract and Linear Algebra</li>
   <li>(12.25) Linear Algebra</li>
   <li>(10.87) AT</li>
   <li>(10.2) Milne - AlgebraicGeometryAvecChapitres</li>
   <li>(8.98) zakon-basic-a4-one</li>
   <li>(8.62) topbook</li>
   <li>(7.66) Ideals,_Varieties,_and_Algorithms</li>
   <li>(7.66) (Undergraduate_Texts_in_Mathematics)DavidACox_JohnLitle&DonalOShea-Ideals,_Varieties,_and_Algorithms-SpringrVrlag_Nw_York,2007(2007)</li>
   <li>(5.03) Notes on Algebraic Structures</li>
   <li>(4.68) Mihai_Putinar,_Seth_Sullivant-Emerging_Applications_of_Algebraic_Geometry_(The_IMA_Volumes_in_Mathematics_and_its_Applications)(2008)</li>
   <li>(4.15) bookvol0</li>
</ul>

<h3>information, document, documents, query, text, search, clustering, words, similarity, each, used, terms</h3>
<ul>
   <li>(82.67) irbookonlinereading</li>
   <li>(24.35) rhodes-phd-JITIR</li>
   <li>(13.28) EECS-2010-71</li>
   <li>(13.22) DS-2007-01.text</li>
   <li>(11.4) rhodes-just-in-time-ibm-systems_cropped</li>
   <li>(8.74) [Christine_Orengo,_David_Jones,_Janet_Thornton]_Bi(BookFi.org)</li>
   <li>(8.43) cluster_survey_10_02_00</li>
   <li>(7.79) Toby_Segaran-Programming_Collective_Intelligence__Building_Smart_Web_2.0_Applications-O'Reilly_Media(2007) (1)</li>
   <li>(6.54) CohenSchvaneveldtWiddows_RRI_draft</li>
   <li>(6.3) Steven S. Skiena-The Algorithm Design Manual-Springer (2008)</li>
   <li>(5.09) rhodes-just-in-time-ibm-systems</li>
   <li>(5.09) rhodes-just-in-time-ibm-systems(1)</li>
   <li>(5.05) Kat_Hempstalk</li>
   <li>(4.14) A Simplified and Improved Measure of Semantic relatedness</li>
</ul>

<h3>program, set, pro, con, programs, rules</h3>
<ul>
   <li>(72.7) Baral_C._Knowledge_Representation,_Reasoning_and_Declarative_Problem_Solving_(2003)(en)(544s)</li>
   <li>(19.25) Inductive functional programming using incremental program transformation</li>
   <li>(19.25) 01-report</li>
   <li>(13.55) prolog-digital</li>
   <li>(10.69) Kaczynski_,_Mischaikow_,_Mrozek-Algebraic_Topology_A_Computational_Approach (1)</li>
   <li>(8.7) BookBody</li>
   <li>(6.5) coalgebra</li>
   <li>(6.2) wm</li>
   <li>(6.19) wm (1)</li>
   <li>(5.2) rw2009-asp</li>
   <li>(4.15) 10.1.1.48.5649</li>
   <li>(4.04) asp-tutorial</li>
   <li>(4.01) ga_tutorial</li>
   <li>(3.84) art_int_paper_74</li>
</ul>

<h3>type, proof, term, coq, set, nat, one, types</h3>
<ul>
   <li>(69.79) 0521899575</li>
   <li>(69.77) Practical Logic and Automated Reasoning</li>
   <li>(48.64) Reference-Manual</li>
   <li>(48.48) Benjamin_C._Pierce-Types_and_Programming_Languages__-The_MIT_Press(2002)</li>
   <li>(47.25) Benjamin_C._Pierce-Advanced_Topics_in_Types_and_Programming_Languages-MIT(2004)</li>
   <li>(28.56) book</li>
   <li>(13.58) metamath</li>
   <li>(13.3) prolog-digital</li>
   <li>(12.98) Barry_Jay-Pattern_Calculus__computing_with_patterns_and_structures-Springer(2009)</li>
   <li>(7.01) comparison</li>
   <li>(5.13) course-notes</li>
   <li>(3.77) prog-prove</li>
   <li>(3.66) coq-hurry</li>
</ul>

<h3>problem, algorithm</h3>
<ul>
   <li>(84.1) bv_cvxbook</li>
   <li>(28.8) Steven S. Skiena-The Algorithm Design Manual-Springer (2008)</li>
   <li>(9.93) 2010050513555973499</li>
   <li>(9.33) Mihai_Putinar,_Seth_Sullivant-Emerging_Applications_of_Algebraic_Geometry_(The_IMA_Volumes_in_Mathematics_and_its_Applications)(2008)</li>
   <li>(8.69) algorithms</li>
   <li>(7.11) Joseph_Keshet,_Samy_Bengio-Automatic_Speech_And_Speaker_Recognition-Wiley(2009)</li>
   <li>(7.0) ESLII_print5</li>
   <li>(6.75) Gilbert_Strang-Linear_Algebra_and_Its_Applications_(4th_Edition)</li>
   <li>(6.7) thebook</li>
   <li>(5.77) 639010</li>
   <li>(5.11) Phillip_Kaye,_Raymond_Laflamme,_Michele_Mosca-An_introduction_to_quantum_computing-Oxford_University_Press,_USA(2007)</li>
   <li>(4.84) L. Pachter, B. Sturmfels-Algebraic Statistics for Computational Biology-Cambridge University Press (2005)(1)</li>
   <li>(4.82) L._Pachter,_B._Sturmfels-Algebraic_Statistics_for_Computational_Biology-Cambridge_University_Press(2005)</li>
</ul>

<h3>distribution, gaussian, function, prior, posterior</h3>
<ul>
   <li>(96.87) (Information_Science_and_Statistics)Christopher_M._Bishop-Pattern_Recognition_and_Machine_Learning-Springer(2007)</li>
   <li>(26.55) RW</li>
   <li>(20.22) ESLII_print5</li>
   <li>(19.84) GhoshalvanderVaartBook2012-Chap1-5 (1)</li>
   <li>(19.55) Bayesian Reasoning and Machine Learning</li>
   <li>(15.0) []_Bayesian_Logical_Data_Analysis_for_the_Physical(BookFi.org)</li>
   <li>(12.33) E._T._Jaynes,_G._Larry_Bretthorst-Probability_theory__the_logic_of_science-Cambridge_University_Press(2003)</li>
   <li>(8.93) book_1</li>
   <li>(8.9) Information Theory, Inference, and Learning Algorithms</li>
   <li>(6.05) Richard_E._Neapolitan-Probabilistic_Methods_for_Bioinformatics__with_an_Introduction_to_Bayesian_Networks-Morgan_Kaufmann(2009)</li>
   <li>(5.96) Rudolph_Kulhavy-Recursive_Nonlinear_Estimation__A_Geometric_Approach_(Lecture_Notes_in_Control_and_Information_Sciences)-Springer(1996)</li>
   <li>(5.7) bv_cvxbook</li>
   <li>(4.87) thebook</li>
</ul>

<h3>measurement, more, people, value</h3>
<ul>
   <li>(62.58) Douglas_W._Hubbard-How_to_Measure_Anything__Finding_the_Value_of_Intangibles_in_Business,_Second_Edition(2010)</li>
   <li>(53.44) Dean_R._Spitzer-Transforming_Performance_Measurement__Rethinking_the_Way_We_Measure_and_Drive_Organizational_Success(2007)</li>
   <li>(48.35) Douglas_W._Hubbard-How_to_Measure_Anything__Finding_the_Value_of_Intangibles_in_Business(2007)</li>
   <li>(36.71) Daniel_Kahneman-Thinking,_Fast_and_Slow__</li>
   <li>(17.63) networks-book</li>
   <li>(9.58) Steven_Skiena-Calculated_Bets(2001) (1)</li>
   <li>(6.27) Robert_B._Cialdini-Influence__Science_and_Practice_-Allyn_&_Bacon(2000)</li>
   <li>(5.83) Robert_B._Cialdini-Influence__The_Psychology_of_Persuasion_(Collins_Business_Essentials)(2007)</li>
   <li>(5.26) pguo-PhD-grind</li>
   <li>(4.62) networks-book-ch22</li>
   <li>(3.66) How-My-Predictions-Are-Faring</li>
   <li>(3.43) E._T._Jaynes,_G._Larry_Bretthorst-Probability_theory__the_logic_of_science-Cambridge_University_Press(2003)</li>
</ul>

<h3>women, more</h3>
<ul>
   <li>(93.55) Deborah Simonton-The Routledge History of Women in Europe since 1700-Routledge (2006)</li>
   <li>(39.85) Dean Keith Simonton-Origins of Genius_ Darwinian Perspectives on Creativity-Oxford University Press, USA (1999)</li>
   <li>(32.29) (Cambridge_Handbooks_in_Psychology_)Robert_J._Sternberg,_Scott_Barry_Kaufman_(editors)-The_Cambridge_Handbook_of_Intelligence__-Cambridge_University_Press(2011)</li>
   <li>(24.41) (Educational_Psychology_Series_)Larisa_V._Shavinina,_Michel_Ferrari-Beyond_Knowledge__Extracognitive_Aspects_of_Developing_High_Ability-Routledge(2004)</li>
   <li>(20.13) Robert_B._Cialdini-Influence__Science_and_Practice_-Allyn_&_Bacon(2000)</li>
   <li>(18.89) Dean Keith Simonton-Genius 101 (Psych 101) (2009)</li>
   <li>(18.29) Robert_B._Cialdini-Influence__The_Psychology_of_Persuasion_(Collins_Business_Essentials)(2007)</li>
   <li>(9.51) Daniel_Kahneman-Thinking,_Fast_and_Slow__</li>
   <li>(9.22) 1301.1648</li>
   <li>(6.82) John Henrik Clarke-Christopher Columbus and the Afrikan Holocaust_ Slavery and the Rise of European Capitalism  -EWorld Inc. (2000)</li>
   <li>(5.8) 115962650-GlobalTrends-2030</li>
   <li>(5.08) How-My-Predictions-Are-Faring</li>
</ul>

<h3>data, training, model, error, tree, figure, each, boosting, decision, trees, example, set</h3>
<ul>
   <li>(74.08) ESLII_print5</li>
   <li>(23.15) 10.1.1.95.5853</li>
   <li>(19.24) Toby_Segaran-Programming_Collective_Intelligence__Building_Smart_Web_2.0_Applications-O'Reilly_Media(2007) (1)</li>
   <li>(15.01) decisionForests_MSR_TR_2011_114</li>
   <li>(8.72) JGodfrey_msc</li>
   <li>(7.15) Kat_Hempstalk</li>
   <li>(6.32) A Simplified and Improved Measure of Semantic relatedness</li>
   <li>(4.44) kolter07a</li>
   <li>(4.19) RTGuyMSThesis</li>
   <li>(4.1) []_Bayesian_Logical_Data_Analysis_for_the_Physical(BookFi.org)</li>
   <li>(3.9) graph_ssl_acl12_tutorial_slides_final</li>
</ul>

<h3>probability, random</h3>
<ul>
   <li>(67.73) Henk Tijms Understanding Probability, 3rd Edition  2012</li>
   <li>(63.48) amsbook.mac</li>
   <li>(43.88) [Michael_Mitzenmacher,_Eli_Upfal]_Probability_and_(Bookos.org)</li>
   <li>(14.53) Richard_E._Neapolitan-Probabilistic_Methods_for_Bioinformatics__with_an_Introduction_to_Bayesian_Networks-Morgan_Kaufmann(2009)</li>
   <li>(7.01) []_Bayesian_Logical_Data_Analysis_for_the_Physical(BookFi.org)</li>
   <li>(5.5) Information Theory, Inference, and Learning Algorithms</li>
   <li>(5.48) book_1</li>
   <li>(5.25) thinkstats</li>
   <li>(4.33) thinkbayes (1)</li>
   <li>(3.89) bv_cvxbook</li>
   <li>(3.39) Bayesian Reasoning and Machine Learning</li>
</ul>

<h3>data, test, universe, one, more, mean, different, two, values</h3>
<ul>
   <li>(68.25) HandbookBioStat</li>
   <li>(52.27) 1301.1648</li>
   <li>(12.86) Stephen_Few-Information_Dashboard_Design__The_Effective_Visual_Communication_of_Data-O'Reilly_Media(2006)</li>
   <li>(12.83) []_Bayesian_Logical_Data_Analysis_for_the_Physical(BookFi.org)</li>
   <li>(7.32) [Christine_Orengo,_David_Jones,_Janet_Thornton]_Bi(BookFi.org)</li>
   <li>(6.31) E._T._Jaynes,_G._Larry_Bretthorst-Probability_theory__the_logic_of_science-Cambridge_University_Press(2003)</li>
   <li>(5.83) thinkstats</li>
   <li>(5.68) TechnicalSummary_WG1AR5-TS_FOD_All_Final</li>
   <li>(4.7) How-Much-Can-We-Boost-IQ-and-Scholastic-Achievement</li>
   <li>(4.47) Bernard_Schutz-A_First_Course_in_General_Relativity-Cambridge_University_Press(2009)</li>
   <li>(3.52) Daniel_Kahneman-Thinking,_Fast_and_Slow__</li>
</ul>

<h3>learning, systems, classi, system, time</h3>
<ul>
   <li>(65.51) Pier_L_Lanzi_Learning_Classifier_Systems_389416</li>
   <li>(15.28) Marcus_Hutter-Universal_Artificial_Intelligence__Sequential_Decisions_Based_On_Algorithmic_Probability-Springer(2004)</li>
   <li>(11.61) (Bradford Books) John H. Holland-Adaptation in Natural and Artificial Systems_ An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence (A Bradford Book)-The MIT Pre</li>
   <li>(8.15) RLAlgsInMDPs-lecture</li>
   <li>(7.86) urbanowicz-review</li>
   <li>(7.63) EECS-2010-71</li>
   <li>(6.81) Bayesian Reasoning and Machine Learning</li>
   <li>(5.43) chakiNg_thesis</li>
   <li>(4.52) stat928_notes</li>
   <li>(3.74) Essentials</li>
</ul>

<h3>capital, countries, cost, global, wealth, data, economic, natural, more, energy, systems, change, per</h3>
<ul>
   <li>(84.86) Inclusive Wealth Report 2012 - Low Resolution</li>
   <li>(32.55) [e-book]Innovative_Financing_for_Development</li>
   <li>(29.44) 115962650-GlobalTrends-2030</li>
   <li>(23.13) TechnicalSummary_WG1AR5-TS_FOD_All_Final</li>
   <li>(15.72) CCC battery cost_ Element Energy report_March2012_Public</li>
   <li>(14.8) lbnl-5047e</li>
   <li>(5.03) networks-book</li>
   <li>(4.9) How-My-Predictions-Are-Faring</li>
   <li>(4.61) 56776</li>
   <li>(4.57) w18901</li>
</ul>

<h3>probability, theory</h3>
<ul>
   <li>(111.98) E._T._Jaynes,_G._Larry_Bretthorst-Probability_theory__the_logic_of_science-Cambridge_University_Press(2003)</li>
   <li>(53.03) Glenn_Shafer,_Vladimir__Vovk-Probability_and_Finance_It's_only_a_game-Wiley-Interscience(2001)</li>
   <li>(20.91) Marcus_Hutter-Universal_Artificial_Intelligence__Sequential_Decisions_Based_On_Algorithmic_Probability-Springer(2004)</li>
   <li>(9.94) networks-book</li>
   <li>(9.85) Daniel_Kahneman-Thinking,_Fast_and_Slow__</li>
   <li>(8.18) Vincent T., Brown J. Evolutionary game theory, natural selection and Darwinian dynamics (CUP, 2005)(ISBN 0521841704)(401s)</li>
   <li>(7.99) Henk Tijms Understanding Probability, 3rd Edition  2012</li>
   <li>(6.35) (Bradford Books) John H. Holland-Adaptation in Natural and Artificial Systems_ An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence (A Bradford Book)-The MIT Pre</li>
   <li>(6.11) []_Bayesian_Logical_Data_Analysis_for_the_Physical(BookFi.org)</li>
</ul>

<h3>type, data, chapter, use, code, using, types, programming, new, example, system, application, android, int</h3>
<ul>
   <li>(119.01) Don_Syme,_Adam_Granicz,_Antonio_Cisternino-Expert_F#_2.0-Apress(2010)</li>
   <li>(46.73) [Rick_Rogers,_John_Lombardo,_Zigurd_Mednieks,_G._B(BookFi.org)</li>
   <li>(11.99) Steven S. Skiena-The Algorithm Design Manual-Springer (2008)</li>
   <li>(10.33) BookBody</li>
   <li>(9.48) [Christine_Orengo,_David_Jones,_Janet_Thornton]_Bi(BookFi.org)</li>
   <li>(8.22) Benjamin_C._Pierce-Advanced_Topics_in_Types_and_Programming_Languages-MIT(2004)</li>
   <li>(7.72) Benjamin_C._Pierce-Types_and_Programming_Languages__-The_MIT_Press(2002)</li>
   <li>(6.27) Barry_Jay-Pattern_Calculus__computing_with_patterns_and_structures-Springer(2009)</li>
</ul>

<h3>type</h3>
<ul>
   <li>(132.38) bookvol0</li>
   <li>(24.62) book</li>
   <li>(19.28) CBEAll</li>
   <li>(12.51) Benjamin_C._Pierce-Advanced_Topics_in_Types_and_Programming_Languages-MIT(2004)</li>
   <li>(7.73) metamath</li>
   <li>(6.86) Benjamin_C._Pierce-Types_and_Programming_Languages__-The_MIT_Press(2002)</li>
   <li>(6.69) Barry_Jay-Pattern_Calculus__computing_with_patterns_and_structures-Springer(2009)</li>
</ul>

<h3>each, graph, figure, two, one, time, edge</h3>
<ul>
   <li>(112.79) networks-book</li>
   <li>(71.27) Steven S. Skiena-The Algorithm Design Manual-Springer (2008)</li>
   <li>(34.68) BookBody</li>
   <li>(28.52) algorithms</li>
   <li>(11.53) [Michael_Mitzenmacher,_Eli_Upfal]_Probability_and_(Bookos.org)</li>
   <li>(10.71) NotesRGCN</li>
   <li>(7.91) Richard_E._Neapolitan-Probabilistic_Methods_for_Bioinformatics__with_an_Introduction_to_Bayesian_Networks-Morgan_Kaufmann(2009)</li>
</ul>

<h3>category, map, each, functor, homotopy, groups, homology, show, maps, isomorphism</h3>
<ul>
   <li>(98.97) AT</li>
   <li>(82.38) acc</li>
   <li>(31.97) Algebra0TextboookAluffi</li>
   <li>(6.4) Awodey, S. Category Theory</li>
   <li>(5.53) (Cambridge_Monographs_on_Applied_and_Computational_Mathematics_)Afra_J._Zomorodian-Topology_for_Computing-Cambridge_University_Press(2009)</li>
   <li>(5.22) Milne - AlgebraicGeometryAvecChapitres</li>
</ul>

<h3>string, key, program, function, code, list, line, com, message, chapter, return</h3>
<ul>
   <li>(91.92) hackingciphers</li>
   <li>(25.12) Toby_Segaran-Programming_Collective_Intelligence__Building_Smart_Web_2.0_Applications-O'Reilly_Media(2007) (1)</li>
   <li>(8.16) Steven S. Skiena-The Algorithm Design Manual-Springer (2008)</li>
   <li>(5.47) metamath</li>
   <li>(4.71) Data Compression Explained</li>
</ul>

<h3>ote, ideal, sph, polynomial, variety</h3>
<ul>
   <li>(120.3) Ideals,_Varieties,_and_Algorithms</li>
   <li>(120.3) (Undergraduate_Texts_in_Mathematics)DavidACox_JohnLitle&DonalOShea-Ideals,_Varieties,_and_Algorithms-SpringrVrlag_Nw_York,2007(2007)</li>
   <li>(10.33) Milne - AlgebraicGeometryAvecChapitres</li>
   <li>(7.6) (Chapman & Hall_CRC Monographs on Statistics & Applied Probability   ) Giovanni Pistone, Eva Riccomagno, Henry P. Wynn-Algebraic statistics_ computational commutative algebra in statistics-Chapman and(1)</li>
</ul>

<h3>image</h3>
<ul>
   <li>(117.42) OReilly Learning OpenCV</li>
   <li>(47.99) Robert Laganière-OpenCV 2 Computer Vision Application Programming Cookbook  -Packt Publishing (2011)</li>
   <li>(6.2) Data Compression Explained</li>
</ul>

<h3>die, brain, der, und</h3>
<ul>
   <li>(63.98) Greg_Egan-Diaspora-Heyne(2000)</li>
   <li>(8.8) neurobook</li>
   <li>(3.42) Keller_Miller_MentalDisorderEvolution_2006</li>
</ul>

<h3>financial, income, business, accounting, cash, earnings</h3>
<ul>
   <li>(114.72) Charles_W._Mulford,_Eugene_E._Comiskey-The_Financial_Numbers_Game__Detecting_Creative_Accounting_Practices____-Wiley(2002)</li>
   <li>(95.59) John_A.,_CPA_Tracy-Accounting_For_Dummies,_4th_edition(2008)</li>
   <li>(12.6) Judith_Orloff,_Darrell_Mullis-The_Accounting_Game__Basic_Accounting_Fresh_from_the_Lemonade_Stand,_2008_Edition-Sourcebooks,_Inc.(2008)</li>
</ul>

<h3>intelligence</h3>
<ul>
   <li>(193.14) (Cambridge_Handbooks_in_Psychology_)Robert_J._Sternberg,_Scott_Barry_Kaufman_(editors)-The_Cambridge_Handbook_of_Intelligence__-Cambridge_University_Press(2011)</li>
   <li>(12.16) How-Much-Can-We-Boost-IQ-and-Scholastic-Achievement</li>
   <li>(11.76) Nisbett(2012) </li>
</ul>

<h3>code, www, http, cambridge, permitted, codes, probability, bits, inference, one, two, see</h3>
<ul>
   <li>(123.32) Information Theory, Inference, and Learning Algorithms</li>
   <li>(123.27) book_1</li>
</ul>

<h3>number, function, functions, trees, one, analysis, log, analytic, generating, tree, see, combinatorial, permutations, singularity, asymptotic, form, case, set, such</h3>
<ul>
   <li>(187.39) analytic comb</li>
</ul>

<h3>company, section</h3>
<ul>
   <li>(204.64) ukpga_20060046_en</li>
</ul>