Advanced lectures on machine learning : revised lectures

Konferenzschrift | Kongress

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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• Location: Deutsche Nationalbibliothek Frankfurt am Main
• ISBN: 9783540231226 ; 3540231226
• Dimensions: 24 cm
• Extent: 240 S.
• Language: Englisch
• Notes: graph. Darst. ; Literaturangaben

References and Relationships

• Bibliographic citation: Lecture notes in computer science ; Vol. 3176 : Lecture notes in artificial intelligence : Tutorial

Classification and Topics

• Classification: Informatik
• Keyword: Maschinelles Lernen

Contributors, Places and Time

• Event: Veröffentlichung
• (where): Berlin, Heidelberg, New York
• (who): Springer
• (when): 2004
• Contributor: Bousquet, Olivier ; ML Summer School (2003 : Canberra; Tübingen)

Further information

• Table of contents: https://d-nb.info/972014179/04
• Rights: Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.