Advanced Lectures on Machine Learning ML Summer Schools 2003, Canberra, Australia, February 2 - 14, 2003, Tübingen, Germany, August 4 - 16, 2003, Revised Lectures /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Bousquet, Olivier (Editor), Luxburg, Ulrike von (Editor), Rätsch, Gunnar (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.
• Series: Lecture Notes in Computer Science, 3176
• Subjects: Computer science.; Computers.; Algorithms.; Artificial intelligence.; Pattern recognition.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computer Science, general.; Algorithm Analysis and Problem Complexity.; Computation by Abstract Devices.; Pattern Recognition.

Machine Learning has become a key enabling technology for many engineering applications, investigating scientific questions and theoretical problems alike. To stimulate discussions and to disseminate new results, a summer school series was started in February 2002, the documentation of which is publ...

Table of Contents:

• An Introduction to Pattern Classification
• Some Notes on Applied Mathematics for Machine Learning
• Bayesian Inference: An Introduction to Principles and Practice in Machine Learning
• Gaussian Processes in Machine Learning
• Unsupervised Learning
• Monte Carlo Methods for Absolute Beginners
• Stochastic Learning
• to Statistical Learning Theory
• Concentration Inequalities.