Overview

"This volume is based upon the 2nd IEEE European Workshop on Computer-Intensive Methods in Control and Signal Processing, subtitled ""Can We Beat the Curse of Dimensionality?"", held in Prague, August 1996. The book brings together a blend of approaches to a common theme from a variety of international research groups in engineering. The 18 contributions which make up this text originated as selected papers from the 1996 workshop, and have been modified and edited to appear here. The range of engineering fields addressed include: multi-agent systems; signal processing; pattern recognition; expert systems; nonparametric estimation; and artificial neural networks."

Full Product Details

Author:   K. Warwick ,  M. Karny
Publisher:   Birkhauser Verlag AG
Imprint:   Birkhauser Verlag AG
ISBN:  

9783764339890

ISBN 10:   3764339896
Pages:   320
Publication Date:   April 1997
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Replaced By:   9780817639891
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Fighting dimensionality with linguistic geometry, Boris Stilman; Statistical physics and the optimization of autonomous behaviour in complex virtual worlds, Robert W. Penney; On merging gradient estimation with mean-tracking techniques for cluster identification, Paul D. Fox et al; Computational aspects of graph theoretic methods in control, Katalin M. Hangos, Zsolt Tuza; Efficient algorithms for predictive control of systems with bounded inputs, Luigi Chisci et al; Applying new numerical algorithms to the solution of discrete-time optimal control problems, Rudiger Franke, Eckhard Arnold; System identification using composition networks, Yves Moreau, Joos Vandewalle; Recursive nonlinear estimation of non-linear/non-Gaussian dynamic models, Rudolf Kulhavy; Monte Carlo approach to Bayesian regression modelling, Jan Smid et al; Identification of reality in Bayesian context, Ludek Berec, Miroslav Karny; Nonlinear nonnormal dynamic models - state estimation and software, Miroslav Simandl, Miroslav Flidr; The EM algorithm - a guided tour, Christophe Couvreur; estimation of quasipolynomilas in noise - theoretical algorithmic and implementation aspects, Vytautas Slivinskas, Virginija Simonyte; Iterative reconstruction of transmission sinograms with low signal to noise ratio, Johan Nuyts et al; Curse of dimensionality - classifying large multi-dimensional images with neural networks, Rudolf Hanka, Thomas P. Harte; Dimension-independent rates of approximation by neural networks, Vera Kurkova; estimation of human signal detection performance from event-related potentials using feed-forward neural network model, Milos Koska et al; Utilizing geometric anomalies of high dimension - when complexity makes computation easier, Paul C. Kainen; Approximation using cubic B-splines with improved training speed and accuracy, Julian D. Mason et al.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions