Index of /~rita/ml_course/lectures

[ICO]NameLast modifiedSizeDescription

[PARENTDIR]Parent Directory  -  
[   ]DT.zip2010-05-23 06:14 36K 
[IMG]MLE_example.jpg2010-03-21 17:02 44K 
[   ]PCA_example.pdf2016-12-19 10:20 73K 
[   ]AlgebraTutorial.doc2006-11-26 06:42 216K 
[   ]Fisher.pdf2013-05-13 08:10 285K 
[   ]DecisionTrees.pdf2013-05-26 08:44 289K 
[   ]MSE_short.pdf2015-01-04 10:31 364K 
[   ]Regression_short.pdf2012-06-04 05:16 386K 
[   ]LectureMLE.pdf2013-04-08 18:07 390K 
[   ]Boosting.pdf2013-06-10 08:27 400K 
[   ]Tutorial_bayesianRisk.pdf2016-11-13 10:34 415K 
[   ]ML-theory&CrossVal.pdf2012-06-09 15:36 423K 
[   ]PCA.pdf2013-05-05 08:35 435K 
[   ]Complex_VC_Ex.pdf2012-06-09 15:21 455K 
[   ]SVM.pdf2013-05-20 09:02 500K 
[   ]PCA_Fisher.pdf2016-12-18 15:18 513K 
[   ]NN.pdf2013-06-11 09:11 532K 
[   ]KNN.pdf2013-04-28 11:01 580K 
[   ]ParzenWin.pdf2013-04-28 11:00 622K 
[   ]Classification-Intro.pdf2016-10-30 11:29 642K 
[   ]Bayesian_Decision.pdf2016-11-05 15:13 684K 
[   ]Multiclass Classification.pdf2017-01-01 10:05 811K 
[   ]2_Probability.pdf2016-11-05 15:13 825K 
[   ]LDF.pdf2013-05-20 08:54 853K 
[   ]Regression_short_new.pdf2017-01-09 10:12 853K 
[   ]PDE_Bayesian_NB.pdf2016-12-26 10:09 1.1M 
[   ]Introduction.pdf2016-10-25 12:49 1.1M 
[   ]Normal_Variables.pdf2013-04-08 17:42 1.9M 
[   ]MLE_Tutorial.pdf2013-04-22 07:42 3.5M