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Pattern Recognition and Neural Networks - Softcover

 
9780521717700: Pattern Recognition and Neural Networks

Synopsis

This 1996 book explains the statistical framework for pattern recognition and machine learning, now in paperback.

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About the Author

Brian Ripley is the Professor of Applied Statistics at the University of Oxford and a member of the Department of Statistics as well as a Professorial Fellow of St. Peter's College.

From the Back Cover

Known for his hype-free approach to neural networks, Brian Ripley here provides an excellent text on the statistics of pattern classifiers and the application of neural techniques...Ripley's text will be rightly popular with newcomers to the area for its ability to present the mathematics of statistical pattern recognition and neural networks in an accessible format and engaging style.

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9780521460866: Pattern Recognition and Neural Networks

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ISBN 10:  0521460867 ISBN 13:  9780521460866
Publisher: Cambridge University Press, 1996
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Ripley, Brian D.
Published by Cambridge University Press, 2008
ISBN 10: 0521717701 ISBN 13: 9780521717700
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Published by Cambridge University Press, 2008
ISBN 10: 0521717701 ISBN 13: 9780521717700
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Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Seller Inventory # Z1-I-021-01635

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Ripley, Brian D.
Published by Cambridge University Press, 2009
ISBN 10: 0521717701 ISBN 13: 9780521717700
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Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9780521717700. Seller Inventory # 9731824

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Paperback. Condition: new. Paperback. This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously diverse applications (which can be found in remote sensing, astrophysics, engineering and medicine, for example). So that readers can develop their skills and understanding, many of the real data sets used in the book are available from the author's website: /~ripley/PRbook/. For the same reason, many examples are included to illustrate real problems in pattern recognition. Unifying principles are highlighted, and the author gives an overview of the state of the subject, making the book valuable to experienced researchers in statistics, machine learning/artificial intelligence and engineering. The clear writing style means that the book is also a superb introduction for non-specialists. This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based on real data sets help readers develop their understanding. All data sets are available from /~ripley/PRbook/ Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521717700

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