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Support Vector Machines for Pattern Classification (Advances in Pattern Recognition)Shigeo Abe

Support Vector Machines for Pattern Classification (Advances in Pattern Recognition)

2005357 pages
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1 edition
Nonfiction

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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 class data were small. I shifted my research e?orts from developing fuzzy classi?ers with high generalization ability to developing support vector machine–based classi?ers. This book focuses on the application of support vector machines to p- tern…

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Editions

1 edition
  • Hardcover · English · 2005
    Springer · 357 pages · 9781852339296
Text processing (Computer science)Support vector machinesPattern recognition systemsMachine learningComputer scienceArtificial intelligenceText processing (Computer scienceOptical pattern recognition