Da: Antiquariat Bookfarm, Löbnitz, Germania
Softcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. C-04205 9783540225720 Sprache: Englisch Gewicht in Gramm: 550.
Da: Books From California, Simi Valley, CA, U.S.A.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 54,93
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Da: California Books, Miami, FL, U.S.A.
EUR 61,02
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Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2004, 2004
ISBN 10: 3540225722 ISBN 13: 9783540225720
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Statistical learning theory is aimed at analyzing complex data with necessarily approximate models. This book is intended for an audience with a graduate background in probability theory and statistics. It will be useful to any reader wondering why it may be a good idea, to use as is often done in practice a notoriously 'wrong'' (i.e. over-simplified) model to predict, estimate or classify. This point of view takes its roots in three fields: information theory, statistical mechanics, and PAC-Bayesian theorems. Results on the large deviations of trajectories of Markov chains with rare transitions are also included. They are meant to provide a better understanding of stochastic optimization algorithms of common use in computing estimators. The author focuses on non-asymptotic bounds of the statistical risk, allowing one to choose adaptively between rich and structured families of models and corresponding estimators. Two mathematical objects pervade the book: entropy and Gibbs measures. The goal is to show how to turn them into versatile and efficient technical tools, that will stimulate further studies and results.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 292 pp. Englisch.
Editore: Springer Berlin Heidelberg, 2004
ISBN 10: 3540225722 ISBN 13: 9783540225720
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Statistical learning theory is aimed at analyzing complex data with necessarily approximate models. This book is intended for an audience with a graduate background in probability theory and statistics. It will be useful to any reader wondering why it may be a good idea, to use asis often done in practice a notoriously 'wrong'' (i.e. over-simplified) model to predict, estimate or classify. This point of view takes its roots in three fields: information theory, statistical mechanics, and PAC-Bayesian theorems. Results on the large deviations of trajectories of Markov chains with rare transitions are also included. They are meant to provide a better understanding of stochastic optimization algorithms of common use in computing estimators. The author focuses on non-asymptotic bounds of the statistical risk, allowing one to choose adaptively between rich and structured families of models and corresponding estimators. Two mathematical objects pervade the book: entropy and Gibbs measures. The goal is to show how to turn them into versatile and efficient technical tools,that will stimulate further studies and results.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 61,18
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 54,64
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 58,50
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Da: Chiron Media, Wallingford, Regno Unito
EUR 55,51
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EUR 81,13
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Aggiungi al carrelloCondizione: New. pp. 292.
Da: thebookforest.com, San Rafael, CA, U.S.A.
EUR 45,76
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Aggiungi al carrelloCondizione: New. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 53,44
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 120,38
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 110,76
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 141,81
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Da: BennettBooksLtd, North Las Vegas, NV, U.S.A.
EUR 120,64
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Aggiungi al carrellopaperback. Condizione: New. In shrink wrap. Looks like an interesting title!
Editore: Springer Berlin Heidelberg, 2004
ISBN 10: 3540225722 ISBN 13: 9783540225720
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 48,37
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Statistical learning theory is aimed at analyzing complex data with necessarily approximate models. This book is intended for an audience with a graduate background in probability theory and statistics. It will be useful to any reader wondering why it ma.
Editore: Springer Berlin Heidelberg Aug 2004, 2004
ISBN 10: 3540225722 ISBN 13: 9783540225720
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Statistical learning theory is aimed at analyzing complex data with necessarily approximate models. This book is intended for an audience with a graduate background in probability theory and statistics. It will be useful to any reader wondering why it may be a good idea, to use asis often done in practice a notoriously 'wrong'' (i.e. over-simplified) model to predict, estimate or classify. This point of view takes its roots in three fields: information theory, statistical mechanics, and PAC-Bayesian theorems. Results on the large deviations of trajectories of Markov chains with rare transitions are also included. They are meant to provide a better understanding of stochastic optimization algorithms of common use in computing estimators. The author focuses on non-asymptotic bounds of the statistical risk, allowing one to choose adaptively between rich and structured families of models and corresponding estimators. Two mathematical objects pervade the book: entropy and Gibbs measures. The goal is to show how to turn them into versatile and efficient technical tools,that will stimulate further studies and results. 292 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 81,20
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 292 Illus.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 84,90
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 292.