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Course Material
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Recitations |
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| Statistical Machine Learning - Handouts | statistical_ML.pdf 298 KB
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| Notes: | version 0.1.0 (black&white); please notify about typos\bugs
watch Vapnik's lecture: here |
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| Empirical Evaluation | empirical_eval.pdf 392 KB
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| Notes: | Slides version: 0.0.1 (very preliminary)
Relevant References:
1. In Defense of One-Vs-All Classification, Rifkin and Klautau, Journal of Machine Learning Research, Volume 5, pp. 101-141, 2004.
2. Statistical Comparisons of Classifiers over Multiple Data Sets, Demsar, Journal of Machine Learning Research, Volume 7, pp. 1-30, 2006.
3. Writing for computer science, Zobel, 1997, Chapter 8.
4. Introduction to machine learning, Alpaydin, 2004, Chapter 14.
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