Regularization, optimization, kernels, and support vector machines
"Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and lar...
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Format: | UnknownFormat |
Sprache: | eng |
Veröffentlicht: |
Boca Raton, London, New York
CRC Press, a Chapman & Hall book
2014
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Schriftenreihe: | Chapman & Hall/CRC machine learning & pattern recognition series
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Schlagworte: | |
Online Zugang: | Inhaltsverzeichnis Cover Inhaltstext Video lectures Workshop book of abstracts Workshop info Book chapter abstracts |
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Zusammenfassung: | "Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vector machines (SVMs). It consists of 21 chapters authored by leading researchers in machine learning."-- |
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Beschreibung: | "International workshop ROKS 2013 Leuven, July 8-10, 2013". - "Published within the framework of the European Research Council (ERC) Advanced Grant project 290923 A-DATADRIVE-B". - Vorwort Includes bibliographical references and index |
Beschreibung: | xvii, 507 Seiten Illustrationen, Diagramme 24,2 cm |
ISBN: | 9781482241396 978-1-4822-4139-6 |