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machine learning knowledge acquisition (28 risultati)
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EUR 3,03
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Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780126851205.
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EUR 4,12
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Aggiungi al carrelloCondizione: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. With usual stamps and markings, In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780125062305.
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Foundations Of Knowledge Acquisition Machine Learning
Libro 74 di 260: The Springer International Series in Engineering and Computer ScienceLingua: Inglese
Editore: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
Da: Basi6 International, Irving, TX, U.S.A.
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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Foundations of Knowledge Acquisition: Machine Learning (The Springer International Series in Engineering and Computer Science, 195)
Libro 74 di 260: The Springer International Series in Engineering and Computer ScienceLingua: Inglese
Editore: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
Da: BennettBooksLtd, Los Angeles, CA, U.S.A.
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Hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!
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Knowledge Acquisition : Selected Research and Commentary : A Special Issue of Machine Learning on Knowledge Acquisition
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Knowledge Acquisition: Selected Research and Commentary: A Special Issue of Machine Learning on Knowledge Acquisition (The Springer International Series in Engineering and Computer Science, 92)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Knowledge Acquisition: Selected Research and Commentary: A Special Issue of Machine Learning on Knowledge Acquisition (The Springer International Series in Engineering and Computer Science)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Knowledge Acquisition: Selected Research and Commentary : A Special Issue of Machine Learning on Knowledge Acquisition
Da: Chiron Media, Wallingford, Regno Unito
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Knowledge Acquisition : Selected Research and Commentary : A Special Issue of Machine Learning on Knowledge Acquisition
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Knowledge Acquisition : Selected Research and Commentary : A Special Issue of Machine Learning on Knowledge Acquisition
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Applying a MacHine Learning Algorithm in a Knowledge Acquisition ccenario. Bericht 276 Von Juni 1993 in Englischer Sprache.
Editore: Universität Karlsruhe, karlsruhe, 1993
Da: alt-saarbrücker antiquariat g.w.melling, Saarbrücken, Germania
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Aggiungi al carrelloHardcover. Condizione: Sehr gut. 1. auflage. oktav paberback. Sehr Gutes Exemplar. ungelesen, geklammerte broschur, etwas mit knickung ecken rechts, sonst noch sehr gut erhalten, 19 seiten mit einigen grafischen darstellungen im text. reihe: universität karlsruhe ( th ) institut für angewandte informatik und formale beschreibungsverfahren. hrsg. von h. schmeck, w. stucky und r. studer. format 21 x 14,8 cm.
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Knowledge Acquisition : Selected Research and Commentary : A Special Issue of Machine Learning on Knowledge Acquisition
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Foundations of Knowledge Acquisition : Machine Learning
Libro 74 di 260: The Springer International Series in Engineering and Computer ScienceEUR 51,08
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 334 | Sprache: Englisch | Produktart: Bücher | One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of current computer applications (e. g. , imagine an airline scheduling program that improves its scheduling method based on analyzing past delays). And while the potential economic impact of successful learning methods is sufficient reason to invest in research into machine learning, there is a second significant reason: studying machine learning helps us understand our own human learning abilities and disabilities, leading to the possibility of improved methods in education. While many open questions remain about the methods by which machines and humans might learn, significant progress has been made.
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EUR 112,77
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - What follows is a sampler of work in knowledge acquisition. It comprises three technical papers and six guest editorials. The technical papers give an in-depth look at some of the important issues and current approaches in knowledge acquisition. The editorials were pro duced by authors who were basically invited to sound off. I've tried to group and order the contributions somewhat coherently. The following annotations emphasize the connections among the separate pieces. Buchanan's editorial starts on the theme of 'Can machine learning offer anything to expert systems ' He emphasizes the practical goals of knowledge acquisition and the challenge of aiming for them. Lenat's editorial briefly describes experience in the development of CYC that straddles both fields. He outlines a two-phase development that relies on an engineering approach early on and aims for a crossover to more automated techniques as the size of the knowledge base increases. Bareiss, Porter, and Murray give the first technical paper. It comes from a laboratory of machine learning researchers who have taken an interest in supporting the development of knowledge bases, with an emphasis on how development changes with the growth of the knowledge base. The paper describes two systems. The first, Protos, adjusts the training it expects and the assistance it provides as its knowledge grows. The second, KI, is a system that helps integrate knowledge into an already very large knowledge base.
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Foundations of Knowledge Acquisition: Machine Learning (The Springer International Series in Engineering and Computer Science, 195)
Libro 74 di 260: The Springer International Series in Engineering and Computer ScienceLingua: Inglese
Editore: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 166,69
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Foundations of Knowledge Acquisition: Machine Learning (The Springer International Series in Engineering and Computer Science)
Libro 74 di 260: The Springer International Series in Engineering and Computer ScienceDa: Ria Christie Collections, Uxbridge, Regno Unito
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Foundations of Knowledge Acquisition : Machine Learning
Libro 74 di 260: The Springer International Series in Engineering and Computer ScienceLingua: Inglese
Editore: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Foundations of Knowledge Acquisition : Machine Learning
Libro 74 di 260: The Springer International Series in Engineering and Computer ScienceLingua: Inglese
Editore: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Foundations of Knowledge Acquisition : Machine Learning
Libro 74 di 260: The Springer International Series in Engineering and Computer ScienceLingua: Inglese
Editore: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Knowledge Acquisition: Selected Research and Commentary: A Special Issue of Machine Learning on Knowledge Acquisition (The Springer International Series in Engineering and Computer Science, 92)
Da: Mispah books, Redhill, SURRE, Regno Unito
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Foundations of Knowledge Acquisition : Machine Learning
Libro 74 di 260: The Springer International Series in Engineering and Computer ScienceLingua: Inglese
Editore: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 104,01
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Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Seiten: 305 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Foundations of Knowledge Acquisition: Machine Learning
Libro 74 di 260: The Springer International Series in Engineering and Computer ScienceEUR 180,97
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Aggiungi al carrelloGebunden. Condizione: New. One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current co.
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Foundations of Knowledge Acquisition : Machine Learning
Libro 74 di 260: The Springer International Series in Engineering and Computer ScienceEUR 168,73
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of current computer applications (e. g. , imagine an airline scheduling program that improves its scheduling method based on analyzing past delays). And while the potential economic impact of successful learning methods is sufficient reason to invest in research into machine learning, there is a second significant reason: studying machine learning helps us understand our own human learning abilities and disabilities, leading to the possibility of improved methods in education. While many open questions remain about the methods by which machines and humans might learn, significant progress has been made.
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Foundations of Knowledge Acquisition: Machine Learning (The Springer International Series in Engineering and Computer Science)
Libro 74 di 260: The Springer International Series in Engineering and Computer ScienceDa: Revaluation Books, Exeter, Regno Unito
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Knowledge Acquisition and Machine Learning: Theory, Methods, and Applications (Knowledge-Based Systems)
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Foundations of Knowledge Acquisition : Machine Learning
Libro 74 di 260: The Springer International Series in Engineering and Computer ScienceEUR 222,67
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of current computer applications (e. g. , imagine an airline scheduling program that improves its scheduling method based on analyzing past delays). And while the potential economic impact of successful learning methods is sufficient reason to invest in research into machine learning, there is a second significant reason: studying machine learning helps us understand our own human learning abilities and disabilities, leading to the possibility of improved methods in education. While many open questions remain about the methods by which machines and humans might learn, significant progress has been made.
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. What follows is a sampler of work in knowledge acquisition. It comprises three technical papers and six guest editorials. The technical papers give an in-depth look at some of the important issues and current approaches in knowledge acquisition. The editori.
