ENGLISH

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

By Elad Yom-Tov (auth.) , Olivier Bousquet , Ulrike von Luxburg , Gunnar Rätsch (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2004
ISBN
978-3-540-23122-6, 978-3-540-28650-9, 3-540-23122-6
DOI
10.1007/b100712
Language
english
Format
PDF
Filesize
3 MB (3179858 bytes)
Series
Lecture Notes in Computer Science 3176 Lecture Notes in Artificial Intelligence
Edition
1
Pages
246\249
Time added
2014-01-18 08:00:00
Artificial Intelligence (incl. Robotics); Algorith

Description

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 published as LNAI 2600. This book presents revised lectures of two subsequent summer schools held in 2003 in Canberra, Australia, and in Tübingen, Germany. The tutorial lectures included are devoted to statistical learning theory, unsupervised learning, Bayesian inference, and applications in pattern recognition; they provide in-depth overviews of exciting new developments and contain a large number of references. Graduate students, lecturers, researchers and professionals alike will find this book a useful resource in learning and teaching machine learning.

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