Verlag: It's About Time, 2014
ISBN 10: 1607207958 ISBN 13: 9781607207955
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
Verlag: PBIS, 2010
ISBN 10: 1585916269 ISBN 13: 9781585916269
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Good. Used book that is in clean, average condition without any missing pages.
Verlag: Herff Jones Education Division, 2009
ISBN 10: 1585916323 ISBN 13: 9781585916320
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Good. Used book that is in clean, average condition without any missing pages.
Verlag: It's About Time, 2010
ISBN 10: 1585916196 ISBN 13: 9781585916191
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Good. Used book that is in clean, average condition without any missing pages.
Verlag: Morgan Kaufmann, 1993
ISBN 10: 1558602372 ISBN 13: 9781558602373
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
Hardback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Verlag: It's About Time Publishing, 2008
ISBN 10: 1585916080 ISBN 13: 9781585916085
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: As New. Used book that is in almost brand-new condition.
Verlag: Taylor & Francis Group, 1986
ISBN 10: 0898596440 ISBN 13: 9780898596441
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Good. First Printing. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
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Neu ab EUR 301,28
Gebraucht ab EUR 10,56
Mehr entdecken Hardcover
Verlag: Lawrence Erlbaum Associates
Anbieter: Robinson Street Books, IOBA, Binghamton, NY, USA
Verbandsmitglied: IOBA
Zustand: Very Good. Prompt shipment, with tracking. we ship in CLEAN SECURE BOXES NEW BOXES Very good with clean pages, lightly worn and marked cover. Contents include, "The Roles of Representations and Tools in the Chemistry Laboratory and their Implications for Chemistry Learning," by Robert Kozma, Elaine Chin, Joel Russell, and Nancy Marx; "The Design of Hypermedia Tools for Learning: Fostering Conceptual Change and Transfer of Complex Scientific Knowledge," by Michael J. Jacobson and Anthi Archodidou.
Verlag: Routledge, 2022
ISBN 10: 103223282X ISBN 13: 9781032232829
Anbieter: Monster Bookshop, Fleckney, Vereinigtes Königreich
Paperback. Zustand: New. BRAND NEW ** SUPER FAST SHIPPING FROM UK WAREHOUSE ** 30 DAY MONEY BACK GUARANTEE.
Verlag: Taylor & Francis, 2016
ISBN 10: 113899734X ISBN 13: 9781138997349
Anbieter: moluna, Greven, Deutschland
Kartoniert / Broschiert. Zustand: New.
Verlag: Springer New York, 2010
ISBN 10: 1441920099 ISBN 13: 9781441920096
Anbieter: moluna, Greven, Deutschland
Zustand: New.
Verlag: Taylor & Francis, 2022
ISBN 10: 1032208503 ISBN 13: 9781032208503
Anbieter: moluna, Greven, Deutschland
Gebunden. Zustand: New.
Verlag: Taylor & Francis, 2014
ISBN 10: 184872411X ISBN 13: 9781848724112
Anbieter: moluna, Greven, Deutschland
Zustand: New.
Verlag: Springer US, 2013
ISBN 10: 1461364183 ISBN 13: 9781461364184
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Case-based reasoning means reasoning based on remembering previous experiences. A reasoner using old experiences (cases) might use those cases to suggest solutions to problems, to point out potential problems with a solution being computed, to interpret a new situation and make predictions about what might happen, or to create arguments justifying some conclusion. A case-based reasoner solves new problems by remembering old situations and adapting their solutions. It interprets new situations by remembering old similar situations and comparing and contrasting the new one to old ones to see where it fits best. Case-based reasoning combines reasoning with learning. It spans the whole reasoning cycle. A situation is experienced. Old situations are used to understand it. Old situations are used to solve a problem (if there is one to be solved). Then the new situation is inserted into memory alongside the cases it used for reasoning, to be used another time. The key to this reasoning method, then, is remembering. Remembering has two parts: integrating cases or experiences into memory when they happen and recalling them in appropriate situations later on. The case-based reasoning community calls this related set of issues the indexing problem. In broad terms, it means finding in memory the experience closest to a new situation. In narrower terms, it can be described as a two-part problem: assigning indexes or labels to experiences when they are put into memory that describe the situations to which they are applicable, so that they can be recalled later; and at recall time, elaborating the new situation in enough detail so that the indexes it would have if it were in the memory are identified. Case-Based Learning is an edited volume of original research comprising invited contributions by leading workers. This work has also been published as a special issues of MACHINE LEARNING, Volume 10, No. 3.
Verlag: Springer US, 1993
ISBN 10: 0792393430 ISBN 13: 9780792393436
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Case-based reasoning means reasoning based on remembering previous experiences. A reasoner using old experiences (cases) might use those cases to suggest solutions to problems, to point out potential problems with a solution being computed, to interpret a new situation and make predictions about what might happen, or to create arguments justifying some conclusion. A case-based reasoner solves new problems by remembering old situations and adapting their solutions. It interprets new situations by remembering old similar situations and comparing and contrasting the new one to old ones to see where it fits best. Case-based reasoning combines reasoning with learning. It spans the whole reasoning cycle. A situation is experienced. Old situations are used to understand it. Old situations are used to solve a problem (if there is one to be solved). Then the new situation is inserted into memory alongside the cases it used for reasoning, to be used another time. The key to this reasoning method, then, is remembering. Remembering has two parts: integrating cases or experiences into memory when they happen and recalling them in appropriate situations later on. The case-based reasoning community calls this related set of issues the indexing problem. In broad terms, it means finding in memory the experience closest to a new situation. In narrower terms, it can be described as a two-part problem: assigning indexes or labels to experiences when they are put into memory that describe the situations to which they are applicable, so that they can be recalled later; and at recall time, elaborating the new situation in enough detail so that the indexes it would have if it were in the memory are identified. Case-Based Learning is an edited volume of original research comprising invited contributions by leading workers. This work has also been published as a special issues of MACHINE LEARNING, Volume 10, No. 3.