chipman susan (36 Ergebnisse)

Zustand: Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.

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}.

Hardcover. Zustand: Good. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.

Hardcover. Zustand: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

hardcover. Zustand: Very Good. Cognitive Task Analysis (Expertise: Research and Applications Series) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

hardcover. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Zustand: Good. 1st 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.

23,5 x 15,5 cm. Zustand: Gut. XII, 554 Seiten ; Mit Illustrationen und Tabellen Leineneinband mit etwas Gebrauchsspuren. Innen mit Stempel, sehr sauber. In Englisch. Bitte beachten Sie unsere Bilder. B09-02-02B|S33 Sprache: Englisch Gewicht in Gramm: 930.

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: Good. 381p dark green hardback, very good copy from a Cambridge college library, usual stamps, reference number taped to the spine, pages are clean and tight, little sign of use Language: English.

Hardcover. 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.

Leinen, 554 Seiten, dies ist ein regulär ausgesondertes Bibliotheksexemplar aus einer wissenschaftlichen Bibliothek, keine Markierungen/Anmerkungen,eine Ecke leicht gestaucht, dies ist ein gut erhaltenes Buch --- Linen, Lib. Ex., 554 pages, no marks, one corner slightly bumped, the book is in a good condition. Shipping to abroad insured with tracking number.

Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Brand New. 256 pages. 9.21x6.14x0.70 inches. In Stock.

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.

Paperback. Zustand: Brand New. 1st edition. 488 pages. 8.75x6.00x1.25 inches. In Stock.

Zustand: New. pp. 256.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Gebunden. Zustand: 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.

Gebunden. Zustand: 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.

Taschenbuch. Zustand: 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 ofsuccessful 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 aboutthe methods by which machines and humans might learn, significant progress has been made.

Taschenbuch. Zustand: 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.

Gebunden. Zustand: New. Susan F. Chipman National Institute of Education, Lorelei R. Brush Aurora Associates and Donna M. Wilson National Institute of Education.First published in 1985. Routledge is an imprint of Taylor &amp Francis, an informa company.First published in .

Zustand: New. Edited by: Judith W. Segal and Susan F. Chipman National Institute of Education Robert Glaser University of Pittsburgh.First Published in 1985. This is Volume 1 on Relating Instruction to Research borne from a conference that took place at the Lear.

Paperback. Zustand: Brand New. reprint edition. 345 pages. 9.26x6.11x0.80 inches. In Stock.

Paperback. Zustand: Brand New. 350 pages. 9.25x6.10x0.81 inches. In Stock.

Zustand: New. Documents the progress of basic research in knowledge acquisition sponsored by the Office of Naval Research. This title includes summaries of work by cognitive scientists who do computational modeling of human learning. It also includes work in analogical reasoning; induction and discovery; explanation-based learning; and, more. Editor(s): Chipman, Susan F.; Meyrowitz, Alan L. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 339 pages, biography. BIC Classification: UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 20. Weight in Grams: 1490. . 1992. Hardback. . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Brand New. 1st edition. 531 pages. 9.25x6.25x1.75 inches. In Stock.

Hardcover. Zustand: Brand New. 1st edition. 488 pages. 9.50x6.25x1.25 inches. In Stock.