zh:courses:ml2025:ch03
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| =====第三章：支持向量机及其他===== | =====第三章：支持向量机及其他===== | ||
| ====课件==== | ====课件==== | ||
| - | 下载：支持向量机及其他【PDF，PPT】 | + | 下载：支持向量机及其他【{{ :zh:courses:ml2025:ch03.pdf |PDF}}，{{ :intranet:courses:ml2025:ch03.pptx |PPT}}】 |
| ====推荐读物==== | ====推荐读物==== | ||
| -Corinna Cortes and Vladimir Vapnik, 1995. [[https://doi.org/10.1023/A:1022627411411|Support-Vector Networks]]. //Machine Learning//, Vol. 20, No. 3, pp. 273-297. | -Corinna Cortes and Vladimir Vapnik, 1995. [[https://doi.org/10.1023/A:1022627411411|Support-Vector Networks]]. //Machine Learning//, Vol. 20, No. 3, pp. 273-297. | ||
| + | -Michael E. Tipping, 2001. [[http://www.jmlr.org/papers/volume1/tipping01a/tipping01a.pdf|Sparse Bayesian Learning and the Relevance Vector Machine]]. //Journal of Machine Learning Research//, Vol. 1, No. Jun, pp. 211-244. | ||
| -John Shawe-Taylor and Nello Cristianini, 2004. //Kernel Methods for Pattern Analysis//. Cambridge University Press. | -John Shawe-Taylor and Nello Cristianini, 2004. //Kernel Methods for Pattern Analysis//. Cambridge University Press. | ||
| -Chih-Wei Hsu, Chih-Chung Chang, and Chih-Jen Lin, 2010. [[http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf|A Practical Guide to Support Vector Classfication]]. | -Chih-Wei Hsu, Chih-Chung Chang, and Chih-Jen Lin, 2010. [[http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf|A Practical Guide to Support Vector Classfication]]. | ||
| - | -Antti Airola, Sampo Pyysalo, Jari Björne, Tapio Pahikkala, Filip Ginter, and Tapio Salakoski, 2008. [[http://www.biomedcentral.com/1471-2105/9/S11/S2|All-Paths Graph Kernel for Protein-Protein Interaction Extraction with Evaluation of Cross-Corpus Learning]]. //BMC Bioinformatics//, Vol. 9, No. Suppl 11, pp. S2. ''{{resources:papers:apbp_08.pdf|PDF}}'' | + | -Antti Airola, Sampo Pyysalo, Jari Björne, Tapio Pahikkala, Filip Ginter, and Tapio Salakoski, 2008. [[http://www.biomedcentral.com/1471-2105/9/S11/S2|All-Paths Graph Kernel for Protein-Protein Interaction Extraction with Evaluation of Cross-Corpus Learning]]. //BMC Bioinformatics//, Vol. 9, No. Suppl 11, pp. S2. |
| - | -Shuo Xu, Xin An, Xiaodong Qiao, and Lijun Zhu, 2014. [[http://dx.doi.org/10.1007/s11042-013-1526-5|Multi-Task Least-Squares Support Vector Machines]]. //Multimedia Tools and Applications//, Vol. 71, No. 2, pp. 699-715. ''{{xushuo:papers:xaqz14.pdf|PDF}}'' ''[[https://github.com/pzczxs/MTLSSVM|code]]'' | + | -Shuo Xu, Xin An, Xiaodong Qiao, and Lijun Zhu, 2014. [[http://dx.doi.org/10.1007/s11042-013-1526-5|Multi-Task Least-Squares Support Vector Machines]]. //Multimedia Tools and Applications//, Vol. 71, No. 2, pp. 699-715. ''[[https://github.com/pzczxs/MTLSSVM|code]]'' |
| - | -Ryan Rifkin, Gene Yeo, and Tomaso Poggio, 2003. Chapter 7: Regularized Least-Squares Classification. Advances in Learning Theory: Methods, Models and Applications. ''{{resources:papers:ryp03.pdf|PDF}}'' | + | |
| -Shuo Xu, Xin An, Xiaodong Qiao, Lijun Zhu, and Lin Li, 2013. [[http://dx.doi.org/10.1016/j.patrec.2013.01.015|Multi-Output Least-Squares Support Vector Regression Machines]]. //Pattern Recognition Letters//, Vol. 34, No. 9, pp. 1078-1084. ''[[https://github.com/pzczxs/MLSSVR|code]]'' | -Shuo Xu, Xin An, Xiaodong Qiao, Lijun Zhu, and Lin Li, 2013. [[http://dx.doi.org/10.1016/j.patrec.2013.01.015|Multi-Output Least-Squares Support Vector Regression Machines]]. //Pattern Recognition Letters//, Vol. 34, No. 9, pp. 1078-1084. ''[[https://github.com/pzczxs/MLSSVR|code]]'' | ||
| -Shuo Xu and Xin An, 2019. [[https://dx.doi.org/10.1108/EL-09-2019-0207|ML2S-SVM: Multi-Label Least-Squares Support Vector Machine Classifiers]]. //The Electronic Library//, Vol. 37, No. 6, pp. 1040-1058. [[https://github.com/pzczxs/ML2S-SVM|code]] [[:zh:notes:ml2s_svm|Note]] | -Shuo Xu and Xin An, 2019. [[https://dx.doi.org/10.1108/EL-09-2019-0207|ML2S-SVM: Multi-Label Least-Squares Support Vector Machine Classifiers]]. //The Electronic Library//, Vol. 37, No. 6, pp. 1040-1058. [[https://github.com/pzczxs/ML2S-SVM|code]] [[:zh:notes:ml2s_svm|Note]] | ||
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| -Xin An, Xin Sun, Shuo Xu, Liyuan Hao, and Jinghong Li, 2022. [[https://doi.org/10.1177/0165551521991034|Important Citations Identification by Exploiting Generative Model into Discriminative Model]]. //Journal of Information Science//, Vol. 49, No. 1, pp. 107-121. [[:zh:notes:important_citation|Note]] | -Xin An, Xin Sun, Shuo Xu, Liyuan Hao, and Jinghong Li, 2022. [[https://doi.org/10.1177/0165551521991034|Important Citations Identification by Exploiting Generative Model into Discriminative Model]]. //Journal of Information Science//, Vol. 49, No. 1, pp. 107-121. [[:zh:notes:important_citation|Note]] | ||
| -Xin An, Xin Sun, and Shuo Xu, 2022. [[https://doi.org/10.1007/s11192-021-04212-6|Important Citations Identification with Semi-Supervised Classification Model]]. //Scientometrics//, Vol. 127, No. 11, pp. 6533-6555. [[:zh:notes:important_citation_semi|Note]] | -Xin An, Xin Sun, and Shuo Xu, 2022. [[https://doi.org/10.1007/s11192-021-04212-6|Important Citations Identification with Semi-Supervised Classification Model]]. //Scientometrics//, Vol. 127, No. 11, pp. 6533-6555. [[:zh:notes:important_citation_semi|Note]] | ||
| + | -Shuo Xu, Yuefu Zhang, Liang Chen, and Xin An, 2024. [[https://doi.org/10.1093/database/baae106|Is Metadata of Articles about COVID-19 enough for MultiLabel Topic Classification Task]]? //Database: The Journal of Biological Databases and Curation//, Vol. 2024, pp. baae106. [[https://github.com/pzczxs/Enriched-BC7-LitCovid|Dataset]] | ||
| ~~DISCUSSION~~ | ~~DISCUSSION~~ | ||
zh/courses/ml2025/ch03.1763970087.txt.gz · 最后更改: 2025/11/24 15:41 由 pzczxs