paperback. Zustand: Very Good. Roberts, B.S. (illustrator). Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Sprache: Englisch
Verlag: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
Anbieter: HPB-Diamond, Dallas, TX, USA
hardcover. Zustand: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Sprache: Englisch
Verlag: Kluwer Academic Pub, Norwell, Massachusetts, U.S.A., 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
Anbieter: Doss-Haus Books, Redondo Beach, CA, USA
Hardcover. Zustand: Good+. Hardcover 1993 edition. Ex-library book with stamps and labels attached. Binding firm. Pages unmarked and clean. Covers show minor wear to corners and edges. Text in good plus condition. {334 pages}.
paperback. Zustand: Very Good. Paperback. NOT Ex-library. Very good condition. Slight edgewear and bumping. Clean pages and tight binding. Until further notice, USPS Priority Mail only reliable option for Hawaii. Proceeds benefit the Pima County Public Library system, which serves Tucson and southern Arizona.
Zustand: New.
Anbieter: Zed Bookshop, Boise, ID, USA
Hardcover. Zustand: As New.
Sprache: Englisch
Verlag: Kluwer Academics Publishers, Boston, 1993
ISBN 10: 0792392779 ISBN 13: 9780792392774
Anbieter: Underground Books, ABAA, Carrollton, GA, USA
Hardcover. Zustand: Very good. Hardcover. 9 1/2" X 6 1/4". x, 338pp. Mild rubbing and shelf wear to covers, corners, and edges of paper over boards. Dust-spotting to edges of text block. Pages are clean and unmarked. Binding is sound. ABOUT THIS BOOK: The two volumes of Foundations of Knowledge Acquisition document the recent progress of basic research in knowledge acquisition sponsored by the Office of Naval Research. This volume is subtitled Cognitive Models of Complex Learning, and there is a companion volume, subtitles Machine Learning. Funding was provided by a five-year Accelerated Research Initiative (ARI), and made possible significant advances in the scientific understanding of how machines and humans can acquire new knowledge so as to exhibit improved problem-solving behavior. Knowledge acquisition, as persued under the ARI, was a coordinated research thrust into both machine learning and the human learning. Chapters in Cognitive Models of Complex Learning thus include summaries of work by cognitive scientists who do computational modeling of human learning. In fact, an accomplishment of research previously sponsored by ONR's Cognitive Science Program gave insight into the knowledge and skills that distinguish human novices from human experts in various domains; the cognitive interest in the ARI was then to characterize how the transition form novice to expert actually takes place. Chapters particularly relevant to that concern are those written by Anderson, Kieras, Marshall, Ohlsson, and VanLehn. Significant progress in machine learning is reported along in a variety of fronts in the companion volume, Machine Learning, also published by Kluwer Academic Publishers. Included is work in analogical reasoning; induction and discovery; explanation-based learning; learning by competition, using genetic algorithms; learning within natural language systems; theoretical limitations, learning in Soar, a proposed general architecture for intelligent systems; and case-based reasoning. These volumes of Foundations of Knowledge Acquisition are excellent reference sources by bringing together descriptions of recent and ongoing research at the forefront of progress in one the most challenging arenas of artificial intelligence and cognitive science. In addition, contributing authors comment on ecxiting future directions for research.(Publisher).
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In den WarenkorbHardcover. Zustand: Very Good. Series: International Series in Engineering and Computer Science. x 339p hardback with laminated cover, very good copy from a Cambridge college library, library markings crossed out, a very good, unused copy Language: English.
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
hardcover. Zustand: Very Good. Good: A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, highlighting of text, writing in margins. No missing pages.
hardcover. Zustand: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Sprache: Englisch
Verlag: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
Anbieter: Basi6 International, Irving, TX, USA
Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Sprache: Englisch
Verlag: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
Anbieter: BennettBooksLtd, Los Angeles, CA, USA
Hardcover. Zustand: New. In shrink wrap. Looks like an interesting title!
Sprache: Englisch
Verlag: Amazon Digital Services LLC - Kdp, 2022
ISBN 10: 9198786245 ISBN 13: 9789198786248
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware.
Zustand: new.
Zustand: 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.
Zustand: Sehr gut. Zustand: Sehr gut | 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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PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 158,11
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Sprache: Englisch
Verlag: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Sprache: Englisch
Verlag: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
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Sprache: Englisch
Verlag: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
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Sprache: Englisch
Verlag: Kluwer Academic Publishers, 1993
ISBN 10: 0792392787 ISBN 13: 9780792392781
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