硕风徐徐

下载：支持向量机及其他【PDF，PPT】

1. Corinna Cortes and Vladimir Vapnik, 1995. Support-Vector Networks. Machine Learning, Vol. 20, No. 3, pp. 273-297.
2. John Shawe-Taylor and Nello Cristianini, 2004. Kernel Methods for Pattern Analysis. Cambridge University Press.
3. Chih-Wei Hsu, Chih-Chung Chang, and Chih-Jen Lin, 2010. A Practical Guide to Support Vector Classfication.
4. Antti Airola, Sampo Pyysalo, Jari Björne, Tapio Pahikkala, Filip Ginter, and Tapio Salakoski, 2008. All-Paths Graph Kernel for Protein-Protein Interaction Extraction with Evaluation of Cross-Corpus Learning. BMC Bioinformatics, Vol. 9, No. Suppl 11, pp. S2. PDF
5. Shuo Xu, Xin An, Xiaodong Qiao, and Lijun Zhu, 2014. Multi-Task Least-Squares Support Vector Machines. Multimedia Tools and Applications, Vol. 71, No. 2, pp. 699-715. PDF code
6. Ryan Rifkin, Gene Yeo, and Tomaso Poggio, 2003. Chapter 7: Regularized Least-Squares Classification. Advances in Learning Theory: Methods, Models and Applications. PDF
7. Shuo Xu, Xin An, Xiaodong Qiao, Lijun Zhu, and Lin Li, 2013. Multi-Output Least-Squares Support Vector Regression Machines. Pattern Recognition Letters, Vol. 34, No. 9, pp. 1078-1084. code
8. Shuo Xu and Xin An, 2019. ML2S-SVM: Multi-Label Least-Squares Support Vector Machine Classifiers. The Electronic Library, Vol. 37, No. 6, pp. 1040-1058. code Note
9. Xin An, Yali Wen, Yaoqi Zhang, and Shuo Xu, 2019. Evaluation of the Forestry and Environmental Conservation Policies in Western China with Multi-Output Regression Method. Computers and Electronics in Agriculture, Vol. 157, pp. 239-246.
10. Shuo Xu, Liyuan Hao, Xin An, Guancan Yang, and Feifei Wang, 2019. Emerging Research Topics Detection with Multiple Machine Learning Models. Journal of Informetrics, Vol. 13, No. 4, pp. 100983. Note
11. Xin An, Xin Sun, Shuo Xu, Liyuan Hao, and Jinghong Li, 2022. Important Citations Identification by Exploiting Generative Model into Discriminative Model. Journal of Information Science, Vol. 49, No. 1, pp. 107-121. Note
12. Xin An, Xin Sun, and Shuo Xu, 2022. Important Citations Identification with Semi-Supervised Classification Model. Scientometrics, Vol. 127, No. 11, pp. 6533-6555. Note