New Book on Learning Theory

[Johan Suykens]

-Announcement New Book on Learning Theory-


J.A.K. Suykens, G. Horvath, S. Basu, C. Micchelli, J. Vandewalle (Eds.)
Advances in Learning Theory: Methods, Models and Applications,
NATO Science Series III: Computer & Systems Sciences, Volume 190,
IOS Press Amsterdam, 2003, 436pp. (ISBN: 1 58603 341 7)
http://www.esat.kuleuven.ac.be/sista/natoasi/book.html
http://www.iospress.nl/site/html/boek-1722819779.html


Book edited at the occasion of the NATO-ASI (Advanced Study Institute)
on Learning Theory and Practice (Leuven July 2002)
http://www.esat.kuleuven.ac.be/sista/natoasi/ltp2002.html


-Contents-

* Preface
* Organizing committee
* List of chapter contributors
* Table of contents

* An Overview of Statistical Learning Theory
   V. Vapnik

* Best Choices for Regularization Parameters in Learning Theory: on the
  Bias-Variance Problem
   F. Cucker, S. Smale

* Cucker Smale Learning Theory in Besov Spaces
   C.A. Micchelli, Y. Xu, P. Ye

* High-dimensional Approximation by Neural Networks
   V. Kurkova

* Functional Learning through Kernels
   S. Canu, X. Mary, A. Rakotomamonjy

* Leave-one-out Error and Stability of Learning Algorithms with Applications
   A. Elisseeff, M. Pontil

* Regularized Least-Squares Classification
   R. Rifkin, G. Yeo, T. Poggio

* Support Vector Machines: Least Squares Approaches and Extensions
   J.A.K. Suykens, T. Van Gestel, J. De Brabanter, B. De Moor, J. Vandewalle

* Extension of the nu-SVM Range for Classification
   F. Perez-Cruz, J. Weston, D.J.L. Herrmann, B. Schoelkopf

* Kernels Methods for Text Processing
   N. Cristianini, J. Kandola, A. Vinokourov, J. Shawe-Taylor

* An Optimization Perspective on Kernel Partial Least Squares Regression
   K.P. Bennett, M.J. Embrechts

* Multiclass Learning with Output Codes
   Y. Singer

* Bayesian Regression and Classification
   C.M. Bishop, M.E. Tipping

* Bayesian Field Theory: from Likelihood Fields to Hyperfields
   J. Lemm

* Bayesian Smoothing and Information Geometry
   R. Kulhavy

* Nonparametric Prediction
   L. Gyorfi, D. Schafer

* Recent Advances in Statistical Learning Theory
   M. Vidyasagar

* Neural Networks in Measurement Systems (an engineering view)
   G. Horvath

* List of participants
* Subject index
* Author index


-Order information-
IOS Press via website
http://www.iospress.nl/site/html/boek-1722819779.html