Machine Learning

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Discriminative and Generative, The Springer International Series in Engineering and Computer Science 755

ISBN: 1402076479
ISBN 13: 9781402076473
Autor: Jebara, Tony
Verlag: Springer Verlag GmbH
Umfang: xvii, 200 S.
Erscheinungsdatum: 31.12.2003
Produktform: Gebunden/Hardback
Einband: GEB

Covers the main contemporary themes and tools in machine learning ranging from Bayesian probabilistic models to discriminative support-vector machines. This book bridges the two schools of thought together within a common framework, connecting their various theories and making one common big-picture.

Artikelnummer: 1590096 Kategorie:

Beschreibung

Inhaltsverzeichnis

- List of Figures. List of Tables. - Preface. Acknowledgments. - 1. Introduction. - 2. Generative Versus Discriminative Learning. - 3. Maximum Entropy Discrimination. - 4. Extensions To MED. - 5. Latent Discrimination. - 6. Conclusion. - 7. Appendix. - Index.

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