Edité par Cambridge University Press, 2007
ISBN 10 : 052186559X ISBN 13 : 9780521865593
Langue: anglais
Vendeur : Barnes & Nooyen Books, Spring, TX, Etats-Unis
EUR 53,25
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Ajouter au panierhardcover. Etat : New. New Condition, Hardcover Book,
Edité par Cambridge University Press, 2007
ISBN 10 : 052186559X ISBN 13 : 9780521865593
Langue: anglais
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 93,03
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Ajouter au panierEtat : New.
Edité par Cambridge University Press, Cambridge, 2007
ISBN 10 : 052186559X ISBN 13 : 9780521865593
Langue: anglais
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Edition originale
EUR 112,13
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Ajouter au panierHardcover. Etat : 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.
Edité par Cambridge University Press, 2007
ISBN 10 : 052186559X ISBN 13 : 9780521865593
Langue: anglais
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 99,84
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Ajouter au panierEtat : New. In.
EUR 137,12
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Ajouter au panierHardcover. Etat : Brand New. 1st edition. 224 pages. 9.00x6.25x0.75 inches. In Stock.
Edité par Cambridge University Press, Cambridge, 2007
ISBN 10 : 052186559X ISBN 13 : 9780521865593
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Edition originale
EUR 131,99
Quantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : 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.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 100,23
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Ajouter au panierHardcover. Etat : Brand New. 1st edition. 224 pages. 9.00x6.25x0.75 inches. In Stock. This item is printed on demand.
Edité par Cambridge University Press, 2007
ISBN 10 : 052186559X ISBN 13 : 9780521865593
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 104,03
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Ajouter au panierHardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 492.
Edité par Cambridge University Press, Cambridge, 2007
ISBN 10 : 052186559X ISBN 13 : 9780521865593
Langue: anglais
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Edition originale impression à la demande
EUR 107,27
Quantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.