NETLAB : Algorithms for Pattern Recognition

Ian T. Nabney

ISBN 10: 1852334401 / ISBN 13: 9781852334406

Edité par Springer London, Springer London, 2004

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Druck auf Anfrage Neuware - Printed after ordering - 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 ProcessesAlthough 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. N° de réf. du vendeur 9781852334406

Détails bibliographiques

Titre : NETLAB : Algorithms for Pattern Recognition

Éditeur : Springer London, Springer London

Date d'édition : 2004

Reliure : Taschenbuch

Etat : Neu

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Synopsis :

Getting the most out of neural networks and related data modelling techniques is the purpose of this book. The text, with the accompanying Netlab toolbox, provides all the necessary tools and knowledge. Throughout, the emphasis is on methods that are relevant to the practical application of neural networks to pattern analysis problems. All parts of the toolbox interact in a coherent way, and implementations and descriptions of standard statistical techniques are provided so that they can be used as benchmarks against which more sophisticated algorithms can be evaluated. Plenty of examples and demonstration programs illustrate the theory and help the reader understand the algorithms and how to apply them.