SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1,y1), ..., (xn,yn). Unlike regula

SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1,y1), ..., (xn,yn). Unlike reg

利用SVM算法来进行中文文本的分类，如一句话里有各种词性的词语则可以进行分类处理-Using SVM algorithm for Chinese text categorization, such as a word in a variety of terms can be part of speech classification

语音情感识别分类，在中科大录制的语音情感数据库CASIA中来实现的(Speech emotion recognition and classification is implemented in CASIA, a speech emotion database recorded by China University of science and technology.)