libsvm-3.17_[FarutoUltimate3.0]
所属分类:人工智能/神经网络/深度学习
开发工具:matlab
文件大小:620KB
下载次数:10
上传日期:2013-06-27 12:20:26
上 传 者:
ljquan@qq.com
说明: libsvm-3.17增强工具,修正了部分代码,测试能用。
(libsvm-3.17 enhancement tools)
文件列表:
COPYRIGHT (1497, 2009-02-17)
TutorialForFarutoUltimate3.1.pdf (237947, 2011-06-10)
implement[by faruto] (0, 2013-06-27)
implement[by faruto]\ClassResult_test.m (369, 2013-06-27)
implement[by faruto]\FastICA_25 (0, 2013-06-27)
implement[by faruto]\FastICA_25\CVS (0, 2013-06-27)
implement[by faruto]\FastICA_25\CVS\Entries (794, 2005-10-19)
implement[by faruto]\FastICA_25\CVS\Repository (8, 2005-10-19)
implement[by faruto]\FastICA_25\CVS\Root (21, 2005-10-19)
implement[by faruto]\FastICA_25\Contents.m (1307, 2005-10-19)
implement[by faruto]\FastICA_25\demosig.m (748, 2003-04-05)
implement[by faruto]\FastICA_25\dispsig.m (402, 2003-04-05)
implement[by faruto]\FastICA_25\fastica.m (18436, 2005-10-19)
implement[by faruto]\FastICA_25\fasticag.m (19214, 2005-10-19)
implement[by faruto]\FastICA_25\fpica.m (26041, 2005-06-16)
implement[by faruto]\FastICA_25\gui_adv.m (13126, 2004-07-27)
implement[by faruto]\FastICA_25\gui_advc.m (7411, 2003-09-08)
implement[by faruto]\FastICA_25\gui_cb.m (19416, 2003-09-10)
implement[by faruto]\FastICA_25\gui_cg.m (2704, 2003-04-05)
implement[by faruto]\FastICA_25\gui_help.m (14536, 2005-10-19)
implement[by faruto]\FastICA_25\gui_l.m (5129, 2004-07-27)
implement[by faruto]\FastICA_25\gui_lc.m (3665, 2003-09-11)
implement[by faruto]\FastICA_25\gui_s.m (5017, 2004-07-27)
implement[by faruto]\FastICA_25\gui_sc.m (2402, 2003-09-08)
implement[by faruto]\FastICA_25\icaplot.m (13259, 2003-04-05)
implement[by faruto]\FastICA_25\pcamat.m (12075, 2003-12-15)
implement[by faruto]\FastICA_25\remmean.m (461, 2003-04-05)
implement[by faruto]\FastICA_25\whitenv.m (2842, 2003-10-12)
implement[by faruto]\SVC_test.m (988, 2013-06-27)
implement[by faruto]\SVR_test.m (959, 2010-01-17)
implement[by faruto]\TutorialTest.m (748, 2010-01-17)
implement[by faruto]\a_template_flow_usingSVM_class.m (2885, 2013-06-27)
implement[by faruto]\a_template_flow_usingSVM_regress.m (2166, 2013-06-27)
implement[by faruto]\gaSVMcgForClass_test.m (989, 2013-06-27)
implement[by faruto]\gaSVMcgForRegress_test.m (987, 2013-06-27)
implement[by faruto]\myprivate (0, 2013-06-27)
implement[by faruto]\myprivate\gatbx[Sheffield] (0, 2013-06-27)
implement[by faruto]\myprivate\gatbx[Sheffield]\bs2rv.m (3217, 1998-04-22)
... ...
SVM faruto version
by faruto
Email:farutoliyang@gmail.com
2009.11.05
==================================
Content:
scaleForSVM:归一化
函数接口:
[train_scale,test_scale,ps] = scaleForSVM(train_data,test_data,ymin,ymax)
====================================
pcaForSVM:pca降维预处理
函数接口:
[train_pca,test_pca] = pcaForSVM(train,test,threshold)
====================================
fasticaForSVM:ica降维预处理
函数接口:
[train_ica,test_ica] = fasticaForSVM(train,test)
====================================
SVMcgForClass:分类问题参数寻找[grid search based on CV]
函数接口:
[bestacc,bestc,bestg] = SVMcgForClass(train_label,train,cmin,cmax,gmin,gmax,v,cstep,gstep,accstep)
SVMcgForRegress:回归问题参数寻优[grid search based on CV]
函数接口:
[mse,bestc,bestg] = SVMcgForRegress(train_label,train,cmin,cmax,gmin,gmax,v,cstep,gstep,msestep)
======================================
psoSVMcgForClass:分类问题参数寻优[pso based on CV]
函数接口:
[bestCVaccuracy,bestc,bestg,pso_option] = psoSVMcgForClass(train_label,train,pso_option)
psoSVMcgForRegress:回归问题参数寻优[pso based on CV]
函数接口:
[bestCVmse,bestc,bestg,pso_option] = psoSVMcgForRegress(train_label,train,pso_option)
=======================================
gaSVMcgForClass:分类问题参数寻优[ga based on CV]
函数接口:
[bestCVaccuracy,bestc,bestg,ga_option] = gaSVMcgForClass(train_label,train,ga_option)
gaSVMcgForRegress:回归问题参数寻优[ga based on CV]
函数接口:
[bestCVmse,bestc,bestg,ga_option] = gaSVMcgForRegress(train_label,train,ga_option)
======================================
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