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Machine Learning of Inductive Bias (The Springer International Series in Engineering and Computer Science, 15)
Da: Michael Knight, Bookseller, Forest Grove, OR, U.S.A.
Valutazione del venditore 5 su 5 stelle
hardcover. Condizione: Very Good. Hardcover issued without dust-jacket. Clean and solid. Ships from a smoke-free home.
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The Use of Force: Military Power and International Politics
Lingua: Inglese
Editore: Rowman & Littlefield Publishers, 2003
ISBN 10: 0742525570 ISBN 13: 9780742525573
Da: BennettBooksLtd, Los Angeles, CA, U.S.A.
Valutazione del venditore 5 su 5 stelle
paperback. Condizione: New. In shrink wrap. Looks like an interesting title!
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Machine Learning of Inductive Bias (The Springer International Series in Engineering and Computer Science)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 114,40
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Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
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Machine Learning of Inductive Bias (The Springer International Series in Engineering and Computer Science, 15)
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 114,40
Spedizione EUR 13,84
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
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Machine Learning of Inductive Bias (The Springer International Series in Engineering and Computer Science)
Da: Chiron Media, Wallingford, Regno Unito
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EUR 112,74
Spedizione EUR 17,89
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Aggiungi al carrelloPaperback. Condizione: New.
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EUR 92,27
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Aggiungi al carrelloGebunden. Condizione: New.
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Machine Learning of Inductive Bias
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. pp. 188.
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EUR 92,27
Spedizione EUR 48,99
Spedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Machine Learning of Inductive Bias
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. pp. 188.
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EUR 95,70
Spedizione EUR 70,00
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Machine Learning of Inductive Bias | Paul E. Utgoff | Taschenbuch | xviii | Englisch | 2012 | Springer | EAN 9781461294085 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Machine Learning of Inductive Bias
Lingua: Inglese
Editore: Springer US, Springer New York, 2012
ISBN 10: 1461294088 ISBN 13: 9781461294085
EUR 112,77
Spedizione EUR 61,48
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is based on the author's Ph.D. dissertation. The the sis research was conducted while the author was a graduate student in the Department of Computer Science at Rutgers University. The book was pre pared at the University of Massachusetts at Amherst where the author is currently an Assistant Professor in the Department of Computer and Infor mation Science. Programs that learn concepts from examples are guided not only by the examples (and counterexamples) that they observe, but also by bias that determines which concept is to be considered as following best from the ob servations. Selection of a concept represents an inductive leap because the concept then indicates the classification of instances that have not yet been observed by the learning program. Learning programs that make undesir able inductive leaps do so due to undesirable bias. The research problem addressed here is to show how a learning program can learn a desirable inductive bias.
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EUR 114,36
Spedizione EUR 62,27
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is based on the author's Ph.D. dissertation. The the sis research was conducted while the author was a graduate student in the Department of Computer Science at Rutgers University. The book was pre pared at the University of Massachusetts at Amherst where the author is currently an Assistant Professor in the Department of Computer and Infor mation Science. Programs that learn concepts from examples are guided not only by the examples (and counterexamples) that they observe, but also by bias that determines which concept is to be considered as following best from the ob servations. Selection of a concept represents an inductive leap because the concept then indicates the classification of instances that have not yet been observed by the learning program. Learning programs that make undesir able inductive leaps do so due to undesirable bias. The research problem addressed here is to show how a learning program can learn a desirable inductive bias.
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Machine Learning of Inductive Bias (The Springer International Series in Engineering and Computer Science, 15)
Da: Mispah books, Redhill, SURRE, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 163,02
Spedizione EUR 28,88
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Aggiungi al carrelloHardcover. Condizione: Very Good. Very Good. book.
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Machine Learning of Inductive Bias (The Springer International Series in Engineering and Computer Science, 15)
Da: Mispah books, Redhill, SURRE, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 164,21
Spedizione EUR 28,88
Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Machine Learning of Inductive Bias (eng)
Da: Brook Bookstore On Demand, Napoli, NA, Italia
Valutazione del venditore 4 su 5 stelle
EUR 86,24
Spedizione EUR 5,50
Spedito da Italia a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
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Machine Learning of Inductive Bias
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
EUR 106,99
Spedizione EUR 23,00
Spedito da Germania a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is based on the author's Ph.D. dissertation. The the sis research was conducted while the author was a graduate student in the Department of Computer Science at Rutgers University. The book was pre pared at the University of Massachusetts at Amherst where the author is currently an Assistant Professor in the Department of Computer and Infor mation Science. Programs that learn concepts from examples are guided not only by the examples (and counterexamples) that they observe, but also by bias that determines which concept is to be considered as following best from the ob servations. Selection of a concept represents an inductive leap because the concept then indicates the classification of instances that have not yet been observed by the learning program. Learning programs that make undesir able inductive leaps do so due to undesirable bias. The research problem addressed here is to show how a learning program can learn a desirable inductive bias. 188 pp. Englisch.
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Machine Learning of Inductive Bias
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 145,89
Spedizione EUR 7,51
Spedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 188 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Machine Learning of Inductive Bias
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 145,93
Spedizione EUR 7,51
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 188 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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Machine Learning of Inductive Bias
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
EUR 133,70
Spedizione EUR 23,00
Spedito da Germania a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is based on the author's Ph.D. dissertation. The the sis research was conducted while the author was a graduate student in the Department of Computer Science at Rutgers University. The book was pre pared at the University of Massachusetts at Amherst where the author is currently an Assistant Professor in the Department of Computer and Infor mation Science. Programs that learn concepts from examples are guided not only by the examples (and counterexamples) that they observe, but also by bias that determines which concept is to be considered as following best from the ob servations. Selection of a concept represents an inductive leap because the concept then indicates the classification of instances that have not yet been observed by the learning program. Learning programs that make undesir able inductive leaps do so due to undesirable bias. The research problem addressed here is to show how a learning program can learn a desirable inductive bias. 188 pp. Englisch.
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Machine Learning of Inductive Bias
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 4 su 5 stelle
EUR 149,83
Spedizione EUR 9,95
Spedito da Germania a U.S.A.Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 188.
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Machine Learning of Inductive Bias
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 4 su 5 stelle
EUR 149,97
Spedizione EUR 9,95
Spedito da Germania a U.S.A.Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 188.
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EUR 95,70
Spedizione EUR 70,00
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Aggiungi al carrelloBuch. Condizione: Neu. Machine Learning of Inductive Bias | Paul E. Utgoff | Buch | xviii | Englisch | 1986 | Springer | EAN 9780898382235 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Machine Learning of Inductive Bias
Lingua: Inglese
Editore: Springer, Springer Jun 1986, 1986
ISBN 10: 0898382238 ISBN 13: 9780898382235
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 106,99
Spedizione EUR 60,00
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is based on the author's Ph.D. dissertation[56]. The the sis research was conducted while the author was a graduate student in the Department of Computer Science at Rutgers University. The book was pre pared at the University of Massachusetts at Amherst where the author is currently an Assistant Professor in the Department of Computer and Infor mation Science. Programs that learn concepts from examples are guided not only by the examples (and counterexamples) that they observe, but also by bias that determines which concept is to be considered as following best from the ob servations. Selection of a concept represents an inductive leap because the concept then indicates the classification of instances that have not yet been observed by the learning program. Learning programs that make undesir able inductive leaps do so due to undesirable bias. The research problem addressed here is to show how a learning program can learn a desirable inductive bias.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 188 pp. Englisch.
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Machine Learning of Inductive Bias
Lingua: Inglese
Editore: Springer, Springer Apr 2012, 2012
ISBN 10: 1461294088 ISBN 13: 9781461294085
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 106,99
Spedizione EUR 60,00
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is based on the author's Ph.D. dissertation[56]. The the sis research was conducted while the author was a graduate student in the Department of Computer Science at Rutgers University. The book was pre pared at the University of Massachusetts at Amherst where the author is currently an Assistant Professor in the Department of Computer and Infor mation Science. Programs that learn concepts from examples are guided not only by the examples (and counterexamples) that they observe, but also by bias that determines which concept is to be considered as following best from the ob servations. Selection of a concept represents an inductive leap because the concept then indicates the classification of instances that have not yet been observed by the learning program. Learning programs that make undesir able inductive leaps do so due to undesirable bias. The research problem addressed here is to show how a learning program can learn a desirable inductive bias.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 188 pp. Englisch.
