Verwandte Artikel zu Neural Networks For Pattern Recognition
Inhaltsangabe
Neural Networks For Pattern Recognition by Christopher M. Bishop & Geoffrey Hinton, 9780195667998, Oxford University Press, 2005, Paperback
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- ISBN 10 0195667999
- ISBN 13 9780195667998
- EinbandTapa blanda
- SpracheEnglisch
- Kontakt zum HerstellerNicht verfügbar
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Neural Networks For Pattern Recognition
Verlag:
Oxford University Press, 2005
ISBN 10: 0195667999
ISBN 13: 9780195667998
Gebraucht
Paperback
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.35. Bestandsnummer des Verkäufers G0195667999I3N00
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Beispielbild für diese ISBN
Neural Networks For Pattern Recognition
Verlag:
Oxford University Press, 2005
ISBN 10: 0195667999
ISBN 13: 9780195667998
Gebraucht
Paperback
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 1.35. Bestandsnummer des Verkäufers G0195667999I5N00
Anzahl: 1 verfügbar
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Neural Networks for Pattern Recognition
Verlag:
Oxford University Press, New Delhi, India, 2003
ISBN 10: 0195667999
ISBN 13: 9780195667998
Gebraucht
Paperback
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Anbieter: BIBLIOPE by Calvello Books, Oakland, CA, USA
Verkäuferbewertung 3 von 5 Sternen
Paperback. Zustand: very good. First Indian Edition. Octavo in red and green wraps; illustrations; References; Index; 482p. "In this textbook, Chris Bishop provides the first comprehensive treatment of feed-forward networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, he describes techniques for modelling probability density functions, and discusses the properties and relative merits of the multi-layer perceptron and radial basis function network models. He also motivates the use of various forms of error function, and reviews the principal algorithms for error function minimization. There is a detailed discussion of learning and generalization in neural networks, and the important topics of data processing, feature extraction, and prior knowledge are also covered. He concludes with an extensive treatment of Bayesian techniques and their applications to neural networks." --Back cover. Includes: 129 Graded exercises, a self-containd introduction to statistical pattern recognition, and an extensive discussion of Bayesian methods. A very good (-) copy with creasing to front bottom edge of wraps and sunning to spine; corners are lightly bumped; first few pages have mild discoloration but leaves are otherwise clean and binding tight; fore edge has teeny dampstains. Bestandsnummer des Verkäufers 103344
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