Skip to content

HTTPS clone URL

Subversion checkout URL

You can clone with HTTPS or Subversion.

Download ZIP
proportion-SVM (pSVM, $\propto$SVM) for learning with label proportions
Matlab M
branch: master
Failed to load latest commit information.
lib initial commit
alternating_svm_dual_with_slack.m initial commit
demo_heart.m initial commit
demo_toy.m initial commit
heart.mat initial commit
init.m initial commit
invcal_dual.m initial commit
invcal_dual_predict.m initial commit
readme.md added readme file
test_all_method.m initial commit
toy.mat initial commit

readme.md

In the interest of time, I am releasing a preliminary version of pSVM (felixyu.org/pSVM.html).

Please cite the following paper: Felix X. Yu; Dong Liu; Sanjiv Kumar; Tony Jebara; Shih-Fu Chang. $\propto$SVM for learning with label proportions, ICML 2013

  1. The package implements the (slow) kernel version of InvCal, alter-pSVM and conv-pSVM. Linear versions, faster kernel versions based on libsvm (instead of gurobi) will be released later.

  2. Setup The code requires CVX, gurobi, and libsvm. http://cvxr.com/cvx/ http://www.gurobi.com/ http://www.csie.ntu.edu.tw/~cjlin/libsvm/ Please download the software in the above websites, and setup init.m accordingly.

  3. Demo Run demo_toy and demo_heart for two simple demos. The toy data was the one used in the ICML paper.

  4. The conv-pSVM was modified from LGMMC(http://lamda.nju.edu.cn/code_LGMMC.ashx). (Y.-F. Li, I. W. Tsang, J. T. Kwok, and Z.-H. Zhou. Tighter and convex maximum margin clustering. AISTATS'09) Some of their code is included for the ease of the users. All the terms of the LGMMC package apply.

  5. Please direct any questions to Felix Yu (yuxinnan@ee.columbia.edu).

Something went wrong with that request. Please try again.