Statistics and neural networks
Subtitle: advances at the interface
By: edited by J.W. Kay and D.M. Titterington.
Contributors: Kay, J. W.; Titterington, D. M.
Publisher: Oxford University Press
Published: 1999
Place of publication: Oxford; New York
Language: eng
Number of pages: 260
Subjects: Mathematical statistics.; Neural computers.; Neural networks (Computer science); Neural computers.; Mathematical statistics.; Neural networks (Computer science)
Notes: Includes bibliographical references and index.
Table of contents: title: Flexible discriminant and mixture models / Trevor Hastie, Robert Tibshirani, Andreas Buja; title: Neural networks for unsupervised learning based on information theory / Jim Kay; title: Radial basis function networks and statistics / David Lowe; title: Robust prediction in many-parameter models / Nathan Intrator; title: Density networks / David J.C. MacKay, Mark N. Gibbs; title: Latent variable models and data visualisation / Christopher M. Bishop, Michael E. Tipping; title: Analysis of latent structure models with multidimensional latent variables / A.P. Dunmur, D.M. Titterington; title: Artificial neural networks and multivariate statistics / E.B. Martin, A.J. Morris.