Editore: Cambridge University Press, 2007
ISBN 10: 052186559X ISBN 13: 9780521865593
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 103,00
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Editore: Cambridge University Press, 2007
ISBN 10: 052186559X ISBN 13: 9780521865593
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
EUR 105,20
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Editore: Cambridge University Press, Cambridge, 2007
ISBN 10: 052186559X ISBN 13: 9780521865593
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
Prima edizione
EUR 109,46
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The goal of learning theory is to approximate a function from sample values. To attain this goal learning theory draws on a variety of diverse subjects, specifically statistics, approximation theory, and algorithmics. Ideas from all these areas blended to form a subject whose many successful applications have triggered a rapid growth during the last two decades. This is the first book to give a general overview of the theoretical foundations of the subject emphasizing the approximation theory, while still giving a balanced overview. It is based on courses taught by the authors, and is reasonably self-contained so will appeal to a broad spectrum of researchers in learning theory and adjacent fields. It will also serve as an introduction for graduate students and others entering the field, who wish to see how the problems raised in learning theory relate to other disciplines. The goal of learning theory is to approximate a function from sample values. To attain this goal learning theory draws on a variety of diverse subjects, specifically statistics, approximation theory, and algorithmics. Ideas from all these areas blended to form a subject whose many successful applications have triggered a rapid growth during the last two decades. This is the first book to give a general overview of the theoretical foundations of the subject emphasizing the approximation theory, while still giving a balanced overview. It is based on courses taught by the authors, and is reasonably self-contained so will appeal to a broad spectrum of researchers in learning theory and adjacent fields. It will also serve as an introduction for graduate students and others entering the field, who wish to see how the problems raised in learning theory relate to other disciplines. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
EUR 136,34
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 224 pages. 9.00x6.25x0.75 inches. In Stock.
Editore: Cambridge University Press, 2007
ISBN 10: 052186559X ISBN 13: 9780521865593
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 92,96
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Editore: Cambridge University Press, Cambridge, 2007
ISBN 10: 052186559X ISBN 13: 9780521865593
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
Prima edizione
EUR 131,68
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The goal of learning theory is to approximate a function from sample values. To attain this goal learning theory draws on a variety of diverse subjects, specifically statistics, approximation theory, and algorithmics. Ideas from all these areas blended to form a subject whose many successful applications have triggered a rapid growth during the last two decades. This is the first book to give a general overview of the theoretical foundations of the subject emphasizing the approximation theory, while still giving a balanced overview. It is based on courses taught by the authors, and is reasonably self-contained so will appeal to a broad spectrum of researchers in learning theory and adjacent fields. It will also serve as an introduction for graduate students and others entering the field, who wish to see how the problems raised in learning theory relate to other disciplines. The goal of learning theory is to approximate a function from sample values. To attain this goal learning theory draws on a variety of diverse subjects, specifically statistics, approximation theory, and algorithmics. Ideas from all these areas blended to form a subject whose many successful applications have triggered a rapid growth during the last two decades. This is the first book to give a general overview of the theoretical foundations of the subject emphasizing the approximation theory, while still giving a balanced overview. It is based on courses taught by the authors, and is reasonably self-contained so will appeal to a broad spectrum of researchers in learning theory and adjacent fields. It will also serve as an introduction for graduate students and others entering the field, who wish to see how the problems raised in learning theory relate to other disciplines. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Cambridge University Press, 2007
ISBN 10: 052186559X ISBN 13: 9780521865593
Lingua: Inglese
Da: dsmbooks, Liverpool, Regno Unito
EUR 136,91
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Aggiungi al carrelloHardcover. Condizione: Like New. Like New. book.
Editore: Cambridge University Press, Cambridge, 2007
ISBN 10: 052186559X ISBN 13: 9780521865593
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
Prima edizione
EUR 112,04
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The goal of learning theory is to approximate a function from sample values. To attain this goal learning theory draws on a variety of diverse subjects, specifically statistics, approximation theory, and algorithmics. Ideas from all these areas blended to form a subject whose many successful applications have triggered a rapid growth during the last two decades. This is the first book to give a general overview of the theoretical foundations of the subject emphasizing the approximation theory, while still giving a balanced overview. It is based on courses taught by the authors, and is reasonably self-contained so will appeal to a broad spectrum of researchers in learning theory and adjacent fields. It will also serve as an introduction for graduate students and others entering the field, who wish to see how the problems raised in learning theory relate to other disciplines. The goal of learning theory is to approximate a function from sample values. To attain this goal learning theory draws on a variety of diverse subjects, specifically statistics, approximation theory, and algorithmics. Ideas from all these areas blended to form a subject whose many successful applications have triggered a rapid growth during the last two decades. This is the first book to give a general overview of the theoretical foundations of the subject emphasizing the approximation theory, while still giving a balanced overview. It is based on courses taught by the authors, and is reasonably self-contained so will appeal to a broad spectrum of researchers in learning theory and adjacent fields. It will also serve as an introduction for graduate students and others entering the field, who wish to see how the problems raised in learning theory relate to other disciplines. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 103,40
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 224 pages. 9.00x6.25x0.75 inches. In Stock. This item is printed on demand.
Editore: Cambridge University Press, 2007
ISBN 10: 052186559X ISBN 13: 9780521865593
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 106,04
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 492.