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  • Support Vector Machines for Pattern Classificationby Shigeo Abe

    Springer London 2006; US$ 85.44

    I was shocked to see a student?s report on performance comparisons between support vector machines (SVMs) and fuzzy classi?ers that we had developed withourbestendeavors.Classi?cationperformanceofourfuzzyclassi?erswas comparable, but in most cases inferior, to that of support vector machines. This tendency was especially evident when the numbers of... more...

  • Support Vector Machines for Pattern Classificationby Shigeo Abe

    Springer London 2010; US$ 179.58

    This guide on the use of SVMs in pattern classification includes a rigorous performance comparison of classifiers and regressors. The book takes the unique approach of focusing on classification rather than covering the theoretical aspects of SVMs. more...

  • Pattern Classificationby Shigeo Abe

    Springer London 2012; US$ 126.76

    Neural networks have a learning capability but analysis of a trained network is difficult. On the other hand, extraction of fuzzy rules is difficult but once they have been extracted, it is relatively easy to analyze the fuzzy system. This book solves the above problems by developing new learning paradigms and architectures for neural networks and... more...

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