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jbqyt
- The performance of the program has reached a high level, Including Deng's correlation, absolute correlation, correlation of slope, improved absolute correlation, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
liblinear-2.0
- Libsvm和Liblinear都是国立台湾大学的Chih-Jen Lin博士开发的,Libsvm主要是用来进行非线性svm 分类器的生成,提出有一段时间了,而Liblinear则是去年才创建的,主要是应对large-scale的data classification,因为linear分类器的训练比非线性分类器的训练计算复杂度要低很多,时间也少很多,而且在large scale data上的性能和非线性的分类器性能相当,所以Liblinear是针对大数据而生的。(Libsvm and Libli
speech_emotion_experiment
- 基于SVM的语音情感识别,可以从用户的话语中识别愤怒、开心、快乐、悲伤等情感(SVM-based speech emotion recognition, which can identify emotions such as anger, happiness, happiness, sadness, etc. from the user's words.)