Foundations Knowledge Acquisition Machine (14 results)
Language: English
Published by Kluwer Academic Publishers 1993
Series: The Springer International Series in Engineering and Computer Science, Book 74 of 260. Book 74 of 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
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Language: English
Published by Kluwer Academic Publishers 1993
Series: The Springer International Series in Engineering and Computer Science, Book 74 of 260. Book 74 of 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
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Language: English
Published by Springer Us 1993
Series: The Springer International Series in Engineering and Computer Science, Book 74 of 260. Book 74 of 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
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Condition: 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.
Language: English
Published by Springer 2013
Series: The Springer International Series in Engineering and Computer Science, Book 74 of 260. Book 74 of 260 - The Springer International Series in Engineering and Computer Science
- Softcover
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Language: English
Published by Kluwer Academic Publishers 1993
Series: The Springer International Series in Engineering and Computer Science, Book 74 of 260. Book 74 of 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Language: English
Published by Kluwer Academic Publishers 1993
Series: The Springer International Series in Engineering and Computer Science, Book 74 of 260. Book 74 of 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
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Language: English
Published by Kluwer Academic Publishers 1993
Series: The Springer International Series in Engineering and Computer Science, Book 74 of 260. Book 74 of 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
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Language: English
Published by Kluwer Academic Publishers 1993
Series: The Springer International Series in Engineering and Computer Science, Book 74 of 260. Book 74 of 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Language: English
Published by Kluwer Academic Publishers 1993
Series: The Springer International Series in Engineering and Computer Science, Book 74 of 260. Book 74 of 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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More imagesLanguage: English
Published by Springer 2013
Series: The Springer International Series in Engineering and Computer Science, Book 74 of 260. Book 74 of 260 - The Springer International Series in Engineering and Computer Science
- Softcover
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Taschenbuch. Condition: Neu. Foundations of Knowledge Acquisition | Machine Learning | Alan L. Meyrowitz (u. a.) | Taschenbuch | xii | Englisch | 2013 | Springer | EAN 9781475783926 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter:… preigu.
Language: English
Published by Springer US 1993
Series: The Springer International Series in Engineering and Computer Science, Book 74 of 260. Book 74 of 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
Seller: moluna, Greven, , Germanymoluna
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Gebunden. Condition: 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.
Language: English
Published by Springer US 2013
Series: The Springer International Series in Engineering and Computer Science, Book 74 of 260. Book 74 of 260 - The Springer International Series in Engineering and Computer Science
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: 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 c…urrent 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.
Language: English
Published by Springer 2013
Series: The Springer International Series in Engineering and Computer Science, Book 74 of 260. Book 74 of 260 - The Springer International Series in Engineering and Computer Science
- Softcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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Paperback. Condition: Brand New. reprint edition. 345 pages. 9.26x6.11x0.80 inches. In Stock.
Language: English
Published by Springer Us Jan 1993 1993
Series: The Springer International Series in Engineering and Computer Science, Book 74 of 260. Book 74 of 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: 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 le…arning 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.
