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ORCIDAdvanced Lectures on Machine Learning 2003
- Olivier Bousquet, Ulrike von Luxburg, Gunnar Rätsch
:
Advanced Lectures on Machine Learning, ML Summer Schools 2003, Canberra, Australia, February 2-14, 2003, Tübingen, Germany, August 4-16, 2003, Revised Lectures. Lecture Notes in Computer Science 3176, Springer 2004, ISBN 3-540-23122-6 - Elad Yom-Tov:
An Introduction to Pattern Classification. 1-20 - Christopher J. C. Burges:
Some Notes on Applied Mathematics for Machine Learning. 21-40 - Michael E. Tipping:
Bayesian Inference: An Introduction to Principles and Practice in Machine Learning. 41-62 - Carl Edward Rasmussen:
Gaussian Processes in Machine Learning. 63-71 - Zoubin Ghahramani:
Unsupervised Learning. 72-112 - Christophe Andrieu:
Monte Carlo Methods for Absolute Beginners. 113-145 - Léon Bottou:
Stochastic Learning. 146-168 - Olivier Bousquet, Stéphane Boucheron, Gábor Lugosi:
Introduction to Statistical Learning Theory. 169-207 - Stéphane Boucheron, Gábor Lugosi, Olivier Bousquet:
Concentration Inequalities. 208-240
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