function?[featureseigveceigvals]?=?AFE（Xskernel?kernel_parsXtypenbeigveceigvals）
%?Automatic?Feature?Extraction?by?Nystr鰉?method
%
%
%?>>?features?=?AFE（X?kernel?sig2?Xt）
%
%?Description
%?Using?the?Nystr鰉?approximation?method?the?mapping?of?data?to
%?the?feature?space?can?be?evaluated?explicitly.?This?gives?the
%?features?that?one?can?use?for?a?linear?regression?or
%?classification.?The?decomposition?of?the?mapping?to?the?feature
%?space?relies?on?the?eigenvalue?decomposition?of?the?kernel
%?matrix.?The?Matlab?（‘eigs‘）?or?Nystr鰉‘s?（‘eign‘）?approximation
%?using?the?nb?most?important?eigenvectors/eigenvalues?can?be
%?used.?The?eigenvalue?decomposition?is?not?re-calculated?if?it?is
%?passed?as?an?extra?argument.?This?routine?internally?calls?a?cmex?file.
%
%?Full?syntax
%?
%?>>?[features?U?lam]?=?AFE（X?kernel?sig2?Xt）?
%?>>?[features?U?lam]?=?AFE（X?kernel?sig2?Xt?type）?
%?>>?[features?U?lam]?=?AFE（X?kernel?sig2?Xt?type?nb）?
%?>>?features??????????=?AFE（X?

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件???????2738??2003-02-21?22:39??LS-SVMlab1.5\AFE.m

?????文件???????5785??2003-02-21?22:39??LS-SVMlab1.5\bay_errorbar.m

?????文件???????2003??2003-02-21?22:39??LS-SVMlab1.5\bay_initlssvm.m

?????文件??????10345??2003-02-21?22:39??LS-SVMlab1.5\bay_lssvm.m

?????文件???????8187??2003-02-21?22:39??LS-SVMlab1.5\bay_lssvmARD.m

?????文件???????9358??2003-02-21?22:39??LS-SVMlab1.5\bay_modoutClass.m

?????文件???????5977??2003-02-21?22:39??LS-SVMlab1.5\bay_optimize.m

?????文件???????4178??2003-02-21?22:39??LS-SVMlab1.5\bay_rr.m

?????文件????????164??2012-06-06?16:11??LS-SVMlab1.5\buffer.mc

?????文件???????5632??2003-02-21?22:39??LS-SVMlab1.5\changelssvm.m

?????文件???????4245??2003-02-21?22:39??LS-SVMlab1.5\code.m

?????文件???????2118??2003-02-21?22:39??LS-SVMlab1.5\codedist_bay.m

?????文件????????756??2003-02-21?22:39??LS-SVMlab1.5\codedist_hamming.m

?????文件???????2018??2003-02-21?22:39??LS-SVMlab1.5\codedist_loss.m

?????文件???????4125??2003-02-21?22:39??LS-SVMlab1.5\codelssvm.m

?????文件???????5197??2003-02-21?22:39??LS-SVMlab1.5\code_ECOC.m

?????文件????????550??2003-02-21?22:39??LS-SVMlab1.5\code_MOC.m

?????文件????????364??2003-02-21?22:39??LS-SVMlab1.5\code_OneVsAll.m

?????文件????????555??2003-02-21?22:39??LS-SVMlab1.5\code_OneVsOne.m

?????文件???????8174??2003-02-21?22:39??LS-SVMlab1.5\crossvalidate.m

?????文件???????1886??2003-02-21?22:39??LS-SVMlab1.5\deltablssvm.m

?????文件???????3369??2003-02-21?22:39??LS-SVMlab1.5\democlass.m

?????文件???????3864??2003-02-21?22:39??LS-SVMlab1.5\demofun.m

?????文件???????4747??2003-02-21?22:39??LS-SVMlab1.5\demomodel.m

?????文件???????2239??2003-02-21?22:39??LS-SVMlab1.5\demo_fixedclass.m

?????文件???????3099??2003-02-21?22:39??LS-SVMlab1.5\demo_fixedsize.m

?????文件???????3337??2003-02-21?22:39??LS-SVMlab1.5\demo_yinyang.m

?????文件???????3507??2003-02-21?22:39??LS-SVMlab1.5\denoise_kpca.m

?????文件???????3414??2003-02-21?22:39??LS-SVMlab1.5\eign.m

?????文件???????6927??2003-02-21?22:39??LS-SVMlab1.5\gridsearch.m

............此處省略65個文件信息