作者: Tao Xiong , V. Cherkassky
DOI: 10.1109/IJCNN.2005.1556089
关键词: Least squares support vector machine 、 Margin classifier 、 Margin (machine learning) 、 Pattern recognition 、 Support vector machine 、 Structured support vector machine 、 Machine learning 、 Artificial intelligence 、 Quadratic classifier 、 Relevance vector machine 、 Computer science 、 Linear discriminant analysis 、 Ranking SVM
摘要: … of the data (in the sense of LDA) and its local properties (in the … dard LDA and SVM formulations for (binary) classification. … SVM/LDA achieves slightly better classification performance …