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By:Ian Nabney
Published on 2002 by Springer Science & Business Media

This volume provides students, researchers and application developers with the knowledge and tools to get the most out of using neural networks and related data modelling techniques to solve pattern recognition problems. Each chapter covers a group of related pattern recognition techniques and includes a range of examples to show how these techniques can be applied to solve practical problems. Features of particular interest include: - A NETLAB toolbox which is freely available - Worked examples, demonstration programs and over 100 graded exercises - Cutting edge research made accessible for the first time in a highly usable form - Comprehensive coverage of visualisation methods, Bayesian techniques for neural networks and Gaussian Processes Although primarily a textbook for teaching undergraduate and postgraduate courses in pattern recognition and neural networks, this book will also be of interest to practitioners and researchers who can use the toolbox to develop application solutions and new models. |...provides a unique collection of many of the most important pattern recognition algorithms. With its use of compact and easily modified MATLAB scripts, the book is ideally suited to both teaching and research.| Christopher Bishop, Microsoft Research, Cambridge, UK |...a welcome addition to the literature on neural networks and how to train and use them to solve many of the statistical problems that occur in data analysis and data mining| Jack Cowan, Mathematics Department, University of Chicago, US |If you have a pattern recognition problem, you should consider NETLAB; if you use NETLAB you must have this book.| Keith Worden, University of Sheffield, UK

This Book was ranked at 5 by Google Books for keyword Pattern Recognition.

Book ID of NETLAB's Books is LaAAJP1ZxBsC, Book which was written byIan Nabneyhave ETAG "9IowRlz2Rco"

Book which was published by Springer Science & Business Media since 2002 have ISBNs, ISBN 13 Code is 9781852334406 and ISBN 10 Code is 1852334401

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