文件名称:biolearning
- 所属分类：
- matlab例程
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 70kb
- 下载次数：
- 0次
- 提 供 者：
- lenov******
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
新的支持向量机程序，可以实现二分类，算法和模型可以编程修改-new svm tools
相关搜索： svmsmoset
(系统自动生成,下载前可以参看下载内容)
下载文件列表
biolearning
...........\@biolearning
...........\............\@classperformance
...........\............\.................\classperformance.m
...........\............\.................\display.m
...........\............\.................\schema.m
...........\............\.................\updateValidation.m
...........\............\schema.m
...........\classperf.m
...........\Contents.m
...........\crossvalind.m
...........\knnclassify.m
...........\knnimpute.m
...........\optimalleaforder.m
...........\private
...........\.......\linear_kernel.m
...........\.......\mlp_kernel.m
...........\.......\poly_kernel.m
...........\.......\quadratic_kernel.m
...........\.......\rbf_kernel.m
...........\.......\seqminopt.m
...........\.......\svmdecision.m
...........\.......\svmplotdata.m
...........\.......\svmplotsvs.m
...........\randfeatures.m
...........\rankfeatures.m
...........\samplealign.m
...........\svmclassify.m
...........\svmsmoset.m
...........\svmtrain.m
...........\@biolearning
...........\............\@classperformance
...........\............\.................\classperformance.m
...........\............\.................\display.m
...........\............\.................\schema.m
...........\............\.................\updateValidation.m
...........\............\schema.m
...........\classperf.m
...........\Contents.m
...........\crossvalind.m
...........\knnclassify.m
...........\knnimpute.m
...........\optimalleaforder.m
...........\private
...........\.......\linear_kernel.m
...........\.......\mlp_kernel.m
...........\.......\poly_kernel.m
...........\.......\quadratic_kernel.m
...........\.......\rbf_kernel.m
...........\.......\seqminopt.m
...........\.......\svmdecision.m
...........\.......\svmplotdata.m
...........\.......\svmplotsvs.m
...........\randfeatures.m
...........\rankfeatures.m
...........\samplealign.m
...........\svmclassify.m
...........\svmsmoset.m
...........\svmtrain.m