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references.bib
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references.bib
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@misc{lecun_cortes_burges_2004, title={THE MNIST DATABASE}, url={http://yann.lecun.com/exdb/mnist/}, journal={MNIST handwritten digit database, Yann LeCun, Corinna Cortes and Chris Burges}, author={LeCun, Yann and Cortes, Corinna and Burges, Christopher J.C.}, year={2004}}
@misc{project1,
title={Applying Regression and Resampling Techniquesto Norwegian Terrain Data with Franke’sFunction as Test Function}, url={https://github.com/kmaasrud/reg-resample-fys-stk4155/blob/master/doc/main.pdf},
author={Aasrud, Knut Magnus and Niane, Philip Karim and Due-Sørensen, Ida}, year={2020}
}
@book{HastieTrevor2009EoSL,
series = {Springer series in statistics},
abstract = {Covers supervised learning (prediction) to unsupervised learning. This book contains topics including neural networks, support vector machines, classification trees and boosting.},
publisher = {Springer},
booktitle = {<h>Elements</h> of <h>Statistical</h> <h>Learning</h>},
isbn = {0387848576},
year = {2009},
title = {Elements of Statistical Learning: Data Mining, Inference, and Prediction},
language = {eng},
address = {New York},
author = {Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome},
keywords = {Data mining ; Supervised learning (Machine learning) ; Mathematical statistics},
}
@book{FrankeRichard1979,
year = {1979},
title = {A Critical Comparison of Some Methods for Interpolation of Scattered Data},
copyright = {APPROVED FOR PUBLIC RELEASE},
language = {eng},
author = {Franke, Richard},
keywords = {COMPUTER GRAPHICS ; DATA REDUCTION ; FINITE ELEMENT ANALYSIS ; PE61152N ; STANDARD DEVIATION ; WEIGHTING FUNCTIONS ; INTERPOLATION ; NUMERICAL METHODS AND PROCEDURES ; BIVARIATE DENSITY FUNCTIONS ; SMOOTHING ; APPROXIMATION(MATHEMATICS) ; Statistics and Probability ; COMPARISON},
organization = {NAVAL POSTGRADUATE SCHOOL MONTEREY CA},
}
@article{scikit-learn,
title={Scikit-learn: Machine Learning in {P}ython},
author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
journal={Journal of Machine Learning Research},
volume={12},
pages={2825--2830},
year={2011},
url={https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_breast_cancer.html}
}