Utgoff paul (26 risultati)
The Use of Force: Military Power and International Politics
Art, Robert J. [Editor]; Waltz, Kenneth N. [Editor]; Allyn, Bruce J. [Contributor]; Blight, James G. [Contributor]; Bundy, McGeorge [Contributor]; Burg, Steven L. [Contributor]; Chellaney, Brahma [Contributor]; Falkenrath, Richard A. [Contributor]; Gaddis, John Lewis [Contributor]; George, Alexander L. [Contributor]; Halperin, Morton H. [Contributor]; Ikenberry, G. John [Contributor]; Jenkins, Brian M. [Contributor]; Jervis, Robert [Contributor]; Kaufmann, Chaim [Contributor]; , WalterLaqueur [Contributor]; Layne, Christopher [Contributor]; Mearsheimer, John J. [Contributor]; Morton, Louis [Contributor]; Newman, Robert D. [Contributor]; O' Hanlon, Michael E. [Contributor]; Pillar, Paul R. [Contributor]; Posen, Barry R. [Contributor]; Sagan, Scott D. [Contributor]; Sansom, Sir George [Contributor]; Snyder, Jack [Contributor]; Thayer, Bradley A. [Contributor]; Utgoff, Victor [Contributor]; Evera, Stephen Van [Contributor]; Walter, Barbara F. [Contributor]; Welch, David A. [Contributor];
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paperback. Condizione: New. In shrink wrap. Looks like an interesting title.
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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Da: Better World Books Ltd, Dunfermline, Regno UnitoBetter World Books Ltd
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EUR 92,76
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Condizione: Good. 1986th Edition. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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EUR 113,92
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Paperback. Condizione: New.
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Da: moluna, Greven, Germaniamoluna
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Da: moluna, Greven, Germaniamoluna
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EUR 92,27
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Gebunden. Condizione: New.
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. 188.
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. 188.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 112,77
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Taschenbuch. 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 Massachusett…s 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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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 114,36
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Buch. 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 Am…herst 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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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Hardcover. Condizione: Very Good. Dust Jacket may NOT BE INCLUDED.CDs may be missing. SHIPS FROM MULTIPLE LOCATIONS. book.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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EUR 182,75
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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- Print on Demand
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 106,99
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Taschenbuch. 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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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: 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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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: 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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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. 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 Mas…sachusetts 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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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 188.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 152,16
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Condizione: New. PRINT ON DEMAND pp. 188.
Altre immagini- Brossura
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Machine Learning of Inductive Bias | Paul E. Utgoff | Taschenbuch | The Springer International Series in Engineering and Computer Science | xviii | Englisch | 2012 | Springer | EAN 9781461294085 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[d…ot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Da: preigu, Osnabrück, Germaniapreigu
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Buch. 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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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 106,99
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. 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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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 106,99
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. 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 Mas…sachusetts 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.
