文件名称:IncrementalSVM
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Incrementally/decrementally update svm. very efficient!-Incrementally/decrementally update svm . very efficient!
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下载文件列表
IncrementalSVM
..............\bookkeeping.m
..............\gestloo.m
..............\gpl.txt
..............\kernel.m
..............\kevals.m
..............\kevalsreset.m
..............\learn.m
..............\loadclass.m
..............\looest.m
..............\min_delta.m
..............\min_delta_acb.m
..............\min_delta_p_c.m
..............\min_delta_p_s.m
..............\move_ind.m
..............\move_indr.m
..............\nonlindata100.mat
..............\perts.m
..............\perturbc.m
..............\perturbk.m
..............\plot2dkm.m
..............\readclass.m
..............\readme.txt
..............\saveclass.m
..............\SVM Incremental Learning.pdf
..............\svmeval.m
..............\svmloo.m
..............\svmtrain.m
..............\svmtrain2.m
..............\testresults.txt
..............\unlearn.m
..............\updateRQ.m
..............\writeclass.m
..............\bookkeeping.m
..............\gestloo.m
..............\gpl.txt
..............\kernel.m
..............\kevals.m
..............\kevalsreset.m
..............\learn.m
..............\loadclass.m
..............\looest.m
..............\min_delta.m
..............\min_delta_acb.m
..............\min_delta_p_c.m
..............\min_delta_p_s.m
..............\move_ind.m
..............\move_indr.m
..............\nonlindata100.mat
..............\perts.m
..............\perturbc.m
..............\perturbk.m
..............\plot2dkm.m
..............\readclass.m
..............\readme.txt
..............\saveclass.m
..............\SVM Incremental Learning.pdf
..............\svmeval.m
..............\svmloo.m
..............\svmtrain.m
..............\svmtrain2.m
..............\testresults.txt
..............\unlearn.m
..............\updateRQ.m
..............\writeclass.m