文件名称:贝叶斯工具箱
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- 上传时间:
- 2018-04-22
- 文件大小:
- 111kb
- 下载次数:
- 0次
- 提 供 者:
- oliver******
- 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
基于贝叶斯框架的最小二乘支持向量机工具箱算法,实用性高。(The least squares support vector machine toolbox algorithm based on Bayesian fr a mework is of high practicability.)
相关搜索: 贝叶斯
(系统自动生成,下载前可以参看下载内容)
下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
LSSVM\AFEm.m | 3437 | 2014-07-09 |
LSSVM\bay_errorbar.m | 5785 | 2014-07-09 |
LSSVM\bay_initlssvm.m | 1998 | 2014-07-09 |
LSSVM\bay_lssvm.m | 10339 | 2014-07-09 |
LSSVM\bay_lssvmARD.m | 8187 | 2014-07-09 |
LSSVM\bay_modoutClass.m | 9358 | 2014-07-09 |
LSSVM\bay_optimize.m | 5843 | 2014-07-09 |
LSSVM\bay_rr.m | 4312 | 2014-07-09 |
LSSVM\bitreverse32.m | 1479 | 2014-07-09 |
LSSVM\changelssvm.m | 5576 | 2014-07-09 |
LSSVM\cilssvm.m | 4744 | 2014-07-09 |
LSSVM\code.m | 4245 | 2014-07-09 |
LSSVM\codedist_bay.m | 2107 | 2014-07-09 |
LSSVM\codedist_hamming.m | 753 | 2014-07-09 |
LSSVM\codedist_loss.m | 2015 | 2014-07-09 |
LSSVM\codelssvm.m | 4126 | 2014-07-09 |
LSSVM\code_ECOC.m | 5194 | 2014-07-09 |
LSSVM\code_MOC.m | 548 | 2014-07-09 |
LSSVM\code_OneVsAll.m | 361 | 2014-07-09 |
LSSVM\code_OneVsOne.m | 576 | 2014-07-09 |
LSSVM\crossvalidate.m | 5847 | 2014-07-09 |
LSSVM\crossvalidatelssvm.m | 3941 | 2014-07-09 |
LSSVM\csa.m | 3188 | 2014-07-09 |
LSSVM\democlass.m | 3461 | 2014-07-09 |
LSSVM\democonfint.m | 2147 | 2014-07-09 |
LSSVM\demofun.m | 3972 | 2014-07-09 |
LSSVM\demomodel.m | 4772 | 2014-07-09 |
LSSVM\demomulticlass.m | 2299 | 2014-07-09 |
LSSVM\demo_fixedclass.m | 2251 | 2014-07-09 |
LSSVM\demo_fixedsize.m | 3233 | 2014-07-09 |
LSSVM\demo_yinyang.m | 3447 | 2014-07-09 |
LSSVM\denoise_kpca.m | 3596 | 2014-07-09 |
LSSVM\eign.m | 3783 | 2014-07-09 |
LSSVM\gcrossvalidate.m | 3300 | 2014-07-09 |
LSSVM\gcrossvalidatelssvm.m | 2092 | 2014-07-09 |
LSSVM\gridsearch.m | 6922 | 2014-07-09 |
LSSVM\initlssvm.m | 3327 | 2014-07-09 |
LSSVM\kentropy.m | 2201 | 2014-07-09 |
LSSVM\kernel_matrix.m | 3569 | 2014-07-09 |
LSSVM\kernel_matrix2.m | 795 | 2014-07-09 |
LSSVM\kpca.m | 6261 | 2014-07-09 |
LSSVM\latentlssvm.m | 2395 | 2014-07-09 |
LSSVM\latticeseq_b2.m | 5836 | 2014-07-09 |
LSSVM\leaveoneout.m | 3665 | 2014-07-09 |
LSSVM\leaveoneoutlssvm.m | 2399 | 2014-07-09 |
LSSVM\linesearch.m | 3755 | 2014-07-09 |
LSSVM\linf.m | 310 | 2014-07-09 |
LSSVM\lin_kernel.m | 529 | 2014-07-09 |
LSSVM\lssvm.m | 1764 | 2014-07-09 |
LSSVM\lssvmMATLAB.m | 2079 | 2014-07-09 |
LSSVM\mae.m | 281 | 2014-07-09 |
LSSVM\medae.m | 302 | 2014-07-09 |
LSSVM\misclass.m | 684 | 2014-07-09 |
LSSVM\MLP_kernel.m | 603 | 2014-07-09 |
LSSVM\mse.m | 282 | 2014-07-09 |
LSSVM\plotlssvm.m | 9947 | 2014-07-09 |
LSSVM\poly_kernel.m | 623 | 2014-07-09 |
LSSVM\postlssvm.m | 4835 | 2014-07-09 |
LSSVM\predict.m | 3482 | 2014-07-09 |
LSSVM\predlssvm.m | 5300 | 2014-07-09 |
LSSVM\preimage_rbf.m | 4453 | 2014-07-09 |
LSSVM\prelssvm.m | 6319 | 2014-07-09 |
LSSVM\progress.m | 1147 | 2014-07-09 |
LSSVM\range.m | 173 | 2014-07-09 |
LSSVM\RBF_kernel.m | 1105 | 2014-07-09 |
LSSVM\rcrossvalidate.m | 5941 | 2014-07-09 |
LSSVM\rcrossvalidatelssvm.m | 4151 | 2014-07-09 |
LSSVM\ridgeregress.m | 1431 | 2014-07-09 |
LSSVM\robustlssvm.m | 2145 | 2014-07-09 |
LSSVM\roc.m | 7483 | 2014-07-09 |
LSSVM\rsimplex.m | 9913 | 2014-07-09 |
LSSVM\simann.m | 5365 | 2014-07-09 |
LSSVM\simlssvm.m | 6414 | 2014-07-09 |
LSSVM\simplex.m | 9799 | 2014-07-09 |
LSSVM\smootherlssvm.m | 1144 | 2014-07-09 |
LSSVM\tbform.m | 3207 | 2014-07-09 |
LSSVM\trainlssvm.m | 8705 | 2014-07-09 |
LSSVM\trimmedmse.m | 1708 | 2014-07-09 |
LSSVM\tunelssvm.m | 22683 | 2014-07-09 |
LSSVM\weightingscheme.m | 928 | 2014-07-09 |
LSSVM\windowize.m | 1934 | 2014-07-09 |
LSSVM\windowizeNARX.m | 1829 | 2014-07-09 |
LSSVM\zhichixiangliangji.m | 2830 | 2018-04-20 |
LSSVM | 0 | 2018-04-22 |