文件名称:LSSVMlab_v17_R2009b_R2010b

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是新版lssvm1.7的工具箱,用于分类和回归,相比较libsvm能得到好的结果-Is a new version lssvm1.7 toolbox for classification and regression, compared with libsvm can get good results
相关搜索: LSSVMLab
LSSVMlab_v17

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下载文件列表

LSSVMlab_v17_R2009b_R2010b\LS-SVMLab v1.7 (R2009b-R2010b)\AFEm.m

..........................\..............................\bay_errorbar.m

..........................\..............................\bay_initlssvm.m

..........................\..............................\bay_lssvm.m

..........................\..............................\bay_lssvmARD.m

..........................\..............................\bay_modoutClass.m

..........................\..............................\bay_optimize.m

..........................\..............................\bay_rr.m

..........................\..............................\bitreverse32.m

..........................\..............................\changelssvm.m

..........................\..............................\cilssvm.m

..........................\..............................\code.m

..........................\..............................\codedist_bay.m

..........................\..............................\codedist_hamming.m

..........................\..............................\codedist_loss.m

..........................\..............................\codelssvm.m

..........................\..............................\code_ECOC.m

..........................\..............................\code_MOC.m

..........................\..............................\code_OneVsAll.m

..........................\..............................\code_OneVsOne.m

..........................\..............................\crossvalidate.m

..........................\..............................\crossvalidatelssvm.m

..........................\..............................\csa.m

..........................\..............................\democlass.m

..........................\..............................\democonfint.m

..........................\..............................\demofun.m

..........................\..............................\demomodel.m

..........................\..............................\demomulticlass.m

..........................\..............................\demo_fixedclass.m

..........................\..............................\demo_fixedsize.m

..........................\..............................\demo_yinyang.m

..........................\..............................\denoise_kpca.m

..........................\..............................\eign.m

..........................\..............................\gcrossvalidate.m

..........................\..............................\gcrossvalidatelssvm.m

..........................\..............................\gridsearch.m

..........................\..............................\initlssvm.m

..........................\..............................\kentropy.m

..........................\..............................\kernel_matrix.m

..........................\..............................\kernel_matrix2.m

..........................\..............................\kpca.m

..........................\..............................\latentlssvm.m

..........................\..............................\latticeseq_b2.m

..........................\..............................\leaveoneout.m

..........................\..............................\leaveoneoutlssvm.m

..........................\..............................\linesearch.m

..........................\..............................\linf.m

..........................\..............................\lin_kernel.m

..........................\..............................\lssvm.m

..........................\..............................\lssvmMATLAB.m

..........................\..............................\medae.m

..........................\..............................\misclass.m

..........................\..............................\MLP_kernel.m

..........................\..............................\mse.m

..........................\..............................\plotlssvm.m

..........................\..............................\poly_kernel.m

..........................\..............................\postlssvm.m

..........................\....

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