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Statistics and Neural Networks : Advances at the Interface - J. W. Kay

Statistics and Neural Networks

Advances at the Interface

By: J. W. Kay, D. M. Titterington

Hardcover | 1 December 1999

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In the area where statistics and neural networks meet there has been rapid growth in active research and the number of applications in which the resulting techniques can be used. Interest is growing as companies discover important and lucrative applications of the research to complex problems in areas of engineering, computer science, finance, and other subjects. This book gives up-to-the-minute coverage on the research developing at this interface, drawing together contributions by leading workers in the two fields. Their contributions show a strong awareness of the common ground of these two subjects and of the advantages to be gained by taking this wider perspective. Topics that are covered include: non-linear approaches to discriminant analysis, techniques for optimizing predictions, approaches to the analysis of latent structure, including probabilistic principal component analysis, density networks and the use of multiple latent variables, and a substantial chapter
outlining techniques and their application in industrial case-studies. This volume is an authoritative voice on the current status, importance of applications, and directions for future research in this area of synergistic science and will be an invaluable resource for those presently working in statistics and neural computing.
Industry Reviews
"This impressive book ... a valuable source book for comprehensivve reviews of current developments in an exciting interface area between statistics and computer science" Statistician " ... written by to experts in statistics and neural networks ... I acn sincerely recommend this book to every neural researcher - there is a lot to learn here" IEEE Transactions and Neural Networks

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