NETLAB

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.

ISBN 1852334401   Volumes 1 ISBN13 9781852334406 (What's this?)   Weight (grammes) 613 Publisher Springer London Ltd   Published in England Imprint Springer London Ltd   Series editor Singh, S. Format Paperback   Series title Advances in Computer Vision and Pattern Recognition Publication date 28 Nov 2001   Height (mm) 234 Library of Congress 2001020313   Width (mm) 156 DEWEY 006.4015118   Spine width (mm) 22 DEWEY edition DC21   Academic level Undergraduate, Postgraduate, Professional / Scholarly Pages 440

1		Introduction		1
1.1		Introduction to MATLAB		2
1.2		The NETLAB Toolbox		18
1.3		Worked Example: Data Normalisation		29
2		Parameter Optimisation Algorithms		33
2.1		Controlling the Algorithms		34
2.2		Quadratic Approximation at a Minimum		41
2.3		Line Search		42
2.4		Batch Gradient Descent		50
2.5		Conjugate Gradients		52
2.6		Scaled Conjugate Gradients		56
2.7		Quasi-Newton Methods		61
2.8		Optimisation and Neural Networks		66
2.9		Worked Example: Constrained Optimisation		71
3		Density Modelling and Clustering		79
3.1		Gaussian Mixture Models		79
3.2		Computing Probabilities		87
3.3		EM Training Algorithm		89
3.4		Demonstrations of GMM		97
3.5		K-means Clustering		101
3.6		K-nearest-neighbour		104
3.7		Worked Examples		107
4		Single Layer Networks		117
4.1		The Single Layer Feed-forward Network		117
4.2		Error Functions		123
4.3		Error Gradient Calculation		127
4.4		Evaluating Other Derivatives		128
		More...

From the reviews: "...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 "Breezing through the elementary algorithms, Nabney takes readers on a tour of the more sophisticated approaches used by real practitioners. ... It is an invaluable resource for the serious student of neural networks." David S. Touretzky, Computer Science Department, Carnegie Mellon University, US "Anyone who intends to use Matlab for pattern recognition and related neural computing applications will benefit from this book. It provides a valuable insight into the methods used within the NETLAB toolbox and serves as a useful reference." Steve King, Strategic Research Centre, Rolls-Royce plc., UK "The book aims to provide readers with the knowledge and tools to get the most out of neural networks ! . A series of worked examples and illustrative demonstration programs are also supplied helping the reader to understand the algorithms ! . The book provides an excellent collection of the most important algorithms in pattern recognition. The book can be used as a textbook for teaching undergraduate and postgraduate courses in pattern recognition but it also proves extremely worthy to practitioners and researchers ! ." (Luminita State, Zentralblatt MATH, Vol. 1011, 2003) "In this book, Ian Nabney provides a well-organized description of NETLAB along with plenty of demonstration programs, worked examples and exercises. ! Throughout the book, the author strictly follows a uniform style in each chapter. ! I think the unification of the style can increase the readability of the book. ! The most benefited readers may be the researchers in the same area. Through this book, they can easily find the algorithms they are interested in and use the algorithms for their own purpose." (Lu Zhang, Expert Update, Vol. 5 (3), 2002) "The book is solely dedicated to explaining the theoretical background of ! NETLAB. ! mainly presents the algorithms of the functions, their MATLAB program, the formulas used and the required inputs from the users in order to use the functions. ! an excellent list of references is included at the end of the book. ! useful as an illustrative reference when used with the actual software, but also containing enough scientific explanations and theory to be considered a good reference book alone." (Eleazar Jimenez Serrano, IAPR Newsletter, January, 2011)

 Be the first to write a customer review