Advanced lectures on machine learning
Subtitle: ML Summer Schools 2003, Canberra, Australia, February 2-14, 2003 [and] Tübingen, Germany, August 4-16, 2003 : revised lectures
By: Olivier Bousquet, Ulrike von Luxburg, Gunnar Rätsch (eds.).
Contributors: Bousquet, Olivier.; Luxburg, Ulrike von.; Rätsch, Gunnar.; Machine Learning Summer School (2003 : Tübingen, Germany)
Series: Lecture notes in computer science,; 3176.; Lecture notes in artificial intelligence; Tutorial; Lecture notes in computer science ;; 3176.; Lecture notes in computer science.; Lecture notes in computer science.
Publisher: Springer; Springer-Verlag
Published: 2004
Place of publication: Berlin; New York
Language: eng
Number of pages: 240
Subjects: Machine learning -- Congresses
Genres: Congresses.
Other titles: Machine learning
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.
Notes: Includes bibliographical references and index.
Also issued online.