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svm_v0.55beta
- 最新的支持向量机工具箱,有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, \"The Nature of Statistical Learning Theory\", Springer-Verl
spider
- 机器学习matlab源代码,包括多分类SVM,模式识别,特征选择,回归等算法。-The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with
drtoolbox
- Matlab针对各种数据预处理的降维方法,源码集合。-Currently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques: Principal Component Analysis (PCA) Probabilistic PCA Factor Analysis (FA) Sammon mapping Lin
Multiple-Kernel-t
- 2014年pami的关于核学习方法的文章,有兴趣的同学一起学习吧-2014 PAMI on the nuclear learning method of the article, there are interested students learn togethe
