Advanced Lectures on Machine Learning : Machine Learning Summer School 2002, Canberra, Australia, February 11-22, 2002, Revised Lectures

Language: English

Published by Springer, 2003

3540005293 / 9783540005292

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - Machine Learning has become a key enabling technology for many engineering applications and theoretical problems alike. To further discussions and to dis- minate new results, a Summer School was held on February 11-22, 2002 at the Australian National University. The current book contains a collection of the main talks held during those two weeks in February, presented as tutorial chapters on topics such as Boosting, Data Mining, Kernel Methods, Logic, Reinforcement Learning, and Statistical Learning Theory. The papers provide an in-depth overview of these exciting new areas, contain a large set of references, and thereby provide the interested reader with further information to start or to pursue his own research in these directions. Complementary to the book, a recorded video of the presentations during the Summer School can be obtained at anu. edu. au/summer2002 It is our hope that graduate students, lecturers, and researchers alike will nd this book useful in learning and teaching Machine Learning, thereby continuing the mission of the Summer School. Canberra, November 2002 Shahar Mendelson Alexander Smola Research School of Information Sciences and Engineering, The Australian National University Thanks and Acknowledgments We gratefully thank all the individuals and organizations responsible for the success of the workshop.…

Seller Inventory # 9783540005292

Title
Advanced Lectures on Machine Learning : Machine Learning Summer School 2002, Canberra, Australia, February 11-22, 2002, Revised Lectures
Author
Alexander J. Smola
Publisher
Springer
Publication year
2003
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3540005293
ISBN 13
9783540005292
Item weight
423 grams
Dimensions
235x155x16 mm

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