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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Körperschaften: ROKS (VerfasserIn), European Research Council (BerichterstatterIn), Katholieke Universiteit Leuven (BerichterstatterIn)
Weitere Verfasser: Suykens, Johan A. K. (HerausgeberIn), Signoretto, Marco (HerausgeberIn), Argyriou, Andreas (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Boca Raton, London, New York CRC Press, a Chapman & Hall book 2014
Schriftenreihe:Chapman & Hall/CRC machine learning & pattern recognition series
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Online Zugang:Inhaltsverzeichnis
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Video lectures
Workshop book of abstracts
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Beschreibung
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."--
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