Advances in kernel methods
AlgorithmsKernel functionsMachine learningVector analysisApprentissage automatique
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Open LibraryAbout this book
The Support Vector Machine is a powerful new learning algorithm for solving a variety of learning and function estimation problems, such as pattern recognition, regression estimation, and operator inversion. The impetus for this collection was a workshop on Support Vector Machines held at the 1997 NIPS conference. The contributors, both university researchers and engineers developing applications for the corporate world, form a Who's Who of this exciting new area.
Themes & subjects
AlgorithmsKernel functionsMachine learningVector analysisApprentissage automatiqueAlgorithmes
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