http://54xushuo.net/wiki/ 2026-05-31T00:18:06+08:00 http://54xushuo.net/wiki/ http://54xushuo.net/wiki/lib/tpl/dokuwiki/images/favicon.ico text/html 2025-11-12T16:39:30+08:00 http://54xushuo.net/wiki/doku.php?id=zh:courses:ml2025:ch01&rev=1762936770&do=diff 第一章：绪论 课件 下载：绪论【[PDF], [PPT]】 视频资源 可怕的批萨 [可怕的批萨] Google Atari Breakout Game [Google Atari Breakout Game] Robot Learns to Flip Pancakes [Robot Learns to Flip Pancakes] text/html 2025-11-23T22:02:53+08:00 http://54xushuo.net/wiki/doku.php?id=zh:courses:ml2025:ch02&rev=1763906573&do=diff 第二章：监督学习法 课件 下载：监督学习法【[PDF], [PPT]】 推荐读物 * E. M. Bennett, R. Alpert, and A. C. Goldstein, 1954. Communications through Limited-Response Questioning. Public Opinion Quarterly, Vol. 18, No. 3, pp. 303-308. * William A. Scott, 1955. Reliability of Content Analysis: The Case of Nominal Scale Coding. Public Opinion Quarterly text/html 2025-11-24T21:54:59+08:00 http://54xushuo.net/wiki/doku.php?id=zh:courses:ml2025:ch03&rev=1763992499&do=diff 第三章：支持向量机及其他 课件 下载：支持向量机及其他【[PDF]，[PPT]】 推荐读物 * Corinna Cortes and Vladimir Vapnik, 1995. Support-Vector Networks. Machine Learning, Vol. 20, No. 3, pp. 273-297. * Michael E. Tipping, 2001. Sparse Bayesian Learning and the Relevance Vector Machine. Journal of Machine Learning Research text/html 2025-12-03T22:05:16+08:00 http://54xushuo.net/wiki/doku.php?id=zh:courses:ml2025:ch04&rev=1764770716&do=diff 第四章：无监督学习法 课件 下载：无监督学习【[PDF]，[PPT]】 推荐读物 * Brendan J. Frey and Delbert Dueck, 2007. Clustering by Passing Message between Data Points. Science, Vol. 315, pp. 972-976. * 徐硕, 朱礼军, 乔晓东, 薛春香, 2010. 基于双序列比对的中文术语语义相似度计算的新方法. 情报学报, Vol. 29, No. 4, pp. 701-708. text/html 2025-12-25T09:34:41+08:00 http://54xushuo.net/wiki/doku.php?id=zh:courses:ml2025:ch05&rev=1766626481&do=diff 第五章：概率主题模型 课件 下载：概率主题模型【[PDF]，[PPT]】 推荐读物 * Thomas Hoffman and Jan Puzicha, 1999. Probabilistic Latent Semantic Indexing. Proceedings of the 22nd International ACM SIGIR Conference on Research and Development in Information Retrieval text/html 2025-12-25T09:33:00+08:00 http://54xushuo.net/wiki/doku.php?id=zh:courses:ml2025:ch06&rev=1766626380&do=diff 第六章：序列标注方法 课件 下载：序列标注方法【[PDF]，[PPT]】 标注平台 * Local Brat Rapid Annotation Tool (BRAT) * Bureau for Rapid Annotation Tool (BRAT) 推荐读物 * Lawrence R. Rabiner, 1989. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proceedings of the IEEE, Vol. 77, No. 2, pp. 257-286. * Klaus Krippendorff, 1995. On the Reliability of Unitizing Contiguous Data. Sociological Methodology text/html 2026-03-12T21:40:08+08:00 http://54xushuo.net/wiki/doku.php?id=zh:courses:ml2025:ch07&rev=1773322808&do=diff 课程论文汇报 [课程作业封面模板（Template for Homework）] 论文列表 * Gongquan Zhang, Shenglin Ma, Mingxing Zheng, Cheng Li, Fangrong Chang, and Fangbing Zhang, 2025. Impact of Digitization and Artificial Intelligence on Carbon Emissions Considering Variable Interaction and Heterogeneity: An Interpretable Deep Learning Modeling Framework. Sustainable Cities and Society, Vol. 125, pp. 106333. * Julina Maharjan, Ruoming Jin, Jianfeng Zhu, and Deric Kenne, 2025. text/html 2025-12-31T12:32:34+08:00 http://54xushuo.net/wiki/doku.php?id=zh:courses:ml2025:index&rev=1767155554&do=diff 统计机器学习 基本信息 * 课程编码：2140116120 * 课程性质：专业选修课 * 学分：2 * 学时：32 班级安排 * 课代表： * 上课时间：周四下午（5~8节） * 上课地点：三教424 2025年11月 星期日 text/html 2025-12-25T08:47:58+08:00 http://54xushuo.net/wiki/doku.php?id=zh:courses:ml2025:sidebar&rev=1766623678&do=diff 统计机器学习 * 第一章：绪论 * 第二章：监督学习法 * 第三章：支持向量机及其他 * 第四章：无监督学习法 * 第五章：概率主题模型 * 第六章：序列标注方法 * 第七章：课程论文汇报 返回课堂教学