Statitical Learning Theory (2014), Graduate School of Informatics, Kyoto University

Statitical Learning Theory (2014), Graduate School of Informatics, Kyoto University

Marco Cuturi（Lectures 1-8）, Hisashi Kashima（Lectures 9-15）
火曜・3時限 / 総合研究7号館情報2

【Topics】
- Advaced topics of supervised learning
- Unsupervised learning

【Lecture Slides】
Lecture 9 (Dec. 9 & 16): Multi-class classification and structured output prediction
Lecture 10 (Dec. 16 & Jan. 6): Semi-supervised, active, and transfer learning
Lecture 11 (Jan. 13, Jan. 20): On-line learning
Lecture 12 (Jan. 27 & Feb. 4): Sparsity
Lecture 13 (Feb. 4): Model Evaluation

【References】
Competition site for homeworks: University of Big Data