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机器学习20讲随书源码

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Machine learning 20, the source of the book, mainly used to process and identify the image
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data\mnist.mat 14735220 2014-03-17
1、K-means学习\city.jpg 118067 2014-02-12
1、K-means学习\kmeans_demo1.m 2279 2015-04-28
2、KNN学习\cvEucdist.m 2006 2011-09-15
2、KNN学习\cvKnn.m 3569 2011-08-10
2、KNN学习\main.m 1301 2015-04-28
3、回归学习\data.mat 472 2011-04-13
3、回归学习\main.m 1230 2015-04-30
3、回归学习\pls.m 561 2011-04-25
3、回归学习\plsiscoeff.m 514 2011-04-13
3、回归学习\plspcr.m 749 2011-04-26
3、回归学习\plsra.m 370 2011-04-11
3、回归学习\plsrd.m 970 2011-04-11
3、回归学习\plsresult.m 282 2015-04-30
3、回归学习\plsutcor.m 274 2011-04-11
3、回归学习\stand.m 204 2011-04-11
4、决策树学习\BuildC45Tree.m 3551 2014-10-30
4、决策树学习\C45_Results.png 5698 2014-10-30
4、决策树学习\flower_mask.png 1420 2014-10-29
4、决策树学习\flower_test.png 259208 2014-10-29
4、决策树学习\ID3_Results.png 5752 2014-10-30
4、决策树学习\main.m 1391 2015-04-28
4、决策树学习\UseC45Tree.m 1421 2014-10-30
4、决策树学习\UseID3Tree.m 1325 2014-10-30
5、Random Forest\main.m 2737 2015-04-25
5、Random Forest\RF.mexw32 81920 2012-11-07
5、Random Forest\runRF.m 2616 2012-11-07
5、Random Forest\runRF_demo.m 547 2015-04-11
5、Random Forest\satimage.tra 525830 2012-11-07
5、Random Forest\satimage.txt 236745 2012-11-07
5、Random Forest\srbct.txt 1001856 2012-11-07
5、Random Forest\test_data.txt 28024 2012-11-07
5、Random Forest\trainData.txt 1188000 2012-11-07
5、Random Forest\train_data.txt 56048 2012-11-07
6、贝叶斯学习\background.mat 396473 2005-08-11
6、贝叶斯学习\Bayes.asv 2106 2015-04-11
6、贝叶斯学习\Bayes.m 1964 2015-04-11
6、贝叶斯学习\human.mat 437929 2005-08-11
6、贝叶斯学习\randQ.m 662 2005-08-11
7、EM算法\EM_init_kmeans.m 486 2010-12-02
7、EM算法\main.m 3322 2015-04-28
8、Adaboost\@crossvalidation\CatFold.m 222 2013-10-14
8、Adaboost\@crossvalidation\crossvalidation.m 242 2013-10-14
8、Adaboost\@crossvalidation\GetFold.m 238 2013-10-14
8、Adaboost\@crossvalidation\Initialize.m 742 2013-10-14
8、Adaboost\@stump_w\calc_output.m 299 2013-10-14
8、Adaboost\@stump_w\do_learn_nu.m 2573 2013-10-14
8、Adaboost\@stump_w\get_threshold_and_dim.m 96 2013-10-14
8、Adaboost\@stump_w\stump_w.m 182 2013-10-14
8、Adaboost\@tree_node_w\calc_output.m 1057 2013-10-14
8、Adaboost\@tree_node_w\do_learn_nu.m 3946 2013-10-14
8、Adaboost\@tree_node_w\get_dim_and_tr.m 1442 2013-10-14
8、Adaboost\@tree_node_w\train.m 3371 2013-10-14
8、Adaboost\@tree_node_w\tree_node_w.m 856 2013-10-14
8、Adaboost\Classify.m 212 2013-10-14
8、Adaboost\ionosphere.txt 76818 2006-07-22
8、Adaboost\main.m 1065 2015-04-11
8、Adaboost\RealAdaBoost.m 1200 2013-10-14
8、Adaboost\TrainAndSave.m 606 2006-06-01
8、Adaboost\TranslateToC.m 452 2013-10-14
9、SVM方法\kernel.m 633 2013-10-14
9、SVM方法\SVM.m 1081 2015-04-11
9、SVM方法\svmSim.m 2437 2013-10-14
9、SVM方法\svmTrain.m 2916 2013-10-14
10、增强学习\action_selector.m 422 2010-03-16
10、增强学习\global1.m 399 2010-03-16
10、增强学习\global2.m 397 2010-03-16
10、增强学习\global3.m 399 2010-03-16
10、增强学习\global4.m 399 2010-03-16
10、增强学习\jump_learn.m 697 2010-03-16
10、增强学习\main.m 604 2015-04-25
10、增强学习\pol_finder.m 341 2010-03-16
10、增强学习\qlearn.m 480 2010-03-16
10、增强学习\state_finder.m 450 2010-03-16
10、增强学习\WS_FTP.LOG 1210 2010-03-16
11、流形学习\eigs_r11.m 52506 2014-11-28
11、流形学习\eigs_r12.m 30098 2014-11-28
11、流形学习\lle.m 2140 2014-11-28
11、流形学习\main.m 1437 2015-04-11
11、流形学习\OGLdpf.log 0 2015-04-25
12、RBF学习\RBF.m 2654 2015-04-11
12、RBF学习\Result.jpg 34908 2014-10-05
13、稀疏表示\code\data\yale\1-0001.png 17010 2009-09-10
13、稀疏表示\code\data\yale\1-0002.png 17178 2009-09-10
13、稀疏表示\code\data\yale\1-0003.png 17357 2009-09-10
13、稀疏表示\code\data\yale\1-0004.png 11287 2009-09-10
13、稀疏表示\code\data\yale\1-0005.png 16887 2009-09-10
13、稀疏表示\code\data\yale\1-0006.png 16356 2009-09-10
13、稀疏表示\code\data\yale\1-0007.png 17217 2009-09-10
13、稀疏表示\code\data\yale\1-0008.png 17023 2009-09-10
13、稀疏表示\code\data\yale\1-0009.png 17446 2009-09-10
13、稀疏表示\code\data\yale\1-0010.png 17057 2009-09-10
13、稀疏表示\code\data\yale\1-0011.png 17142 2009-09-10
13、稀疏表示\code\data\yale\1-0012.png 16775 2009-09-10
13、稀疏表示\code\data\yale\1-0013.png 16769 2009-09-10
13、稀疏表示\code\data\yale\1-0014.png 15794 2009-09-10
13、稀疏表示\code\data\yale\1-0015.png 15593 2009-09-10
13、稀疏表示\code\data\yale\1-0016.png 17233 2009-09-10
13、稀疏表示\code\data\yale\1-0017.png 17071 2009-09-10
13、稀疏表示\code\data\yale\1-0018.png 16171 2009-09-10
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