Andere Kunden interessierten sich auch für
![Learning Theory]( "Learning Theory")
Learning Theory83,99 €![Computational Learning Theory]( "Computational Learning Theory")
Computational Learning Theory42,99 €![Algorithmic Learning Theory]( "Algorithmic Learning Theory")
Algorithmic Learning Theory42,99 €![Computational Learning Theory]( "Computational Learning Theory")
Computational Learning Theory42,99 €![Subspace, Latent Structure and Feature Selection]( "Subspace, Latent Structure and Feature Selection")
Subspace, Latent Structure and Feature Selection42,99 €![Machine Learning and Its Applications]( "Machine Learning and Its Applications")
Machine Learning and Its Applications42,99 €![Algorithmic Learning Theory]( "Algorithmic Learning Theory")
Algorithmic Learning Theory42,99 €
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.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.