Hybrid Methods in Pattern Recognition

eBook Details

Editor:H. Bunke and A. Kandel
No of Pages: 336 pages
Press: World Scientific Publishing Company;
Edition:1st edition
Dated:June 15, 2002
Language: English
ISBN-10: 9810248326
ISBN-13: 978-9810248321

eBook Description
Collection of articles describing recent progress in this emerging field. Covers topics such as the combination of neural nets with fuzzy systems or hidden Markov models, neural networks for the processing of symbolic data structures, hybrid methods in data mining, and others.
Keywords
International Conference, New York, Half Mean Std Mean Std, Neural Information Processing Systems, Neural Computation, Choice Method Set, Lecture Notes, Classification Error Rate Bootstrap Half, Englewood Cliffs, Kappa Kappa Fig, Prentice Hall, Springer Verlag, University of California, Annals of Statistics, Combining Artificial Neural Nets, Germany E-mail, John Wiley, Kluwer Academic Publishers, Morgan Kaufmann, North Holland, South Australia, Statistics Departament, Trans Systems,neural network committees, graphical pattern recognition, ridge line width, fuzzy training patterns, fuzzy output vector, stochastic discrimination, extracted linguistic rules, antecedent linguistic values, complementary classifiers, fuzzy input vector, candidate ensembles, interval output vector, fuzzified neural networks, substring tests, ridge line following, overproduction phase, line following algorithm, certainty grade, error diversity, graph edit distance, information granules, paired features, lexical tree, bifurcation features, multiple classifier systems.

Download Links
http://hotfile.com/dl/35286880/06e6c85/146.zip.html

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