Articoli correlati a Investigating Explanation-Based Learning: 120
Sinossi
Explanation-Based Learning (EBL) can generally be viewed as substituting background knowledge for the large training set of exemplars needed by conventional or empirical machine learning systems. The background knowledge is used automatically to construct an explanation of a few training exemplars. The learned concept is generalized directly from this explanation.
The first EBL systems of the modern era were Mitchell's LEX2, Silver's LP, and De Jong's KIDNAP natural language system. Two of these systems, Mitchell's and De Jong's, have led to extensive follow-up research in EBL. This book outlines the significant steps in EBL research of the Illinois group under De Jong.
This volume describes theoretical research and computer systems that use a broad range of formalisms: schemas, production systems, qualitative reasoning models, non-monotonic logic, situation calculus, and some home-grown ad hoc representations. This has been done consciously to avoid sacrificing the ultimate research significance in favor of the expediency of any particular formalism.
The ultimate goal, of course, is to adopt (or devise) the right formalism.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
Preface. A Perspective on Explanation-Based Learning; G. De Jong. Explanation Generalization in Eggs; R.J. Mooney. Generalizing Explanation Structures; J.W. Shavlik. Recoverable Simplifications and the Interactable Domain Theory Problem; S. Chien. Designing Experiments to Extend the Domain Theory; S. Rajamoney. Some Aspects of Operationality; S.W. Bennett, J.W. Shavlik. Empirically Evaluating EBL; J.W. Shavlik, P. O'Rourke. Psychological Studies of Explanation-Based Learning; Woo-Kyoung Ahn, W.F. Brewer. Case Study 1-ARMS: Acquiring Robotic Assembly Plans; A.M. Segre. Case Study 2-GENESIS: Learning Schemata For Narrative Text Understanding; R.J. Mooney. Case Study 3-PHYSICS 101: Learning in Mathematically-Based Domains; J.W. Shavlik. Case Study 4-ADEPT: Extending the Domain Theory; S. Rajamoney. Case Study 5-NONMON: Learning with Recoverable Simplifications; S. Chien. Case Study 6-GRASPER: Learning to Manipulate an Uncertain World; S. Bennett. Index.
Product Description
Book by None
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreKluwer Academic Pub
- Data di pubblicazione1992
- ISBN 10 079239125X
- ISBN 13 9780792391258
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine452
- RedattoreDejong Gerald
Compra nuovo
Visualizza questo articolo
EUR 149,83
EUR 7,64 per la spedizione da Regno Unito a U.S.A.
Destinazione, tempi e costiAltre edizioni note dello stesso titolo
Risultati della ricerca per Investigating Explanation-Based Learning: 120
Foto dell'editore
Investigating Explanation-Based Learning
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. pp. 452 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam. Codice articolo 5845267
Quantità: 1 disponibili
Foto dell'editore
Investigating Explanation-Based Learning
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. pp. 452. Codice articolo 183051206
Quantità: 1 disponibili
Foto dell'editore
Investigating Explanation-Based Learning (The Springer International Series in Engineering and Computer Science)
Da: Mispah books, Redhill, SURRE, Regno Unito
Valutazione del venditore 4 su 5 stelle
Hardcover. Condizione: Like New. Like NewLIKE NEW. book. Codice articolo ERICA835079239125X3
Quantità: 1 disponibili
Foto dell'editore
Investigating Explanation-Based Learning (The Springer International Series in Engineering and Computer Science, 120)
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo ABLIING23Feb2416190185661
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Investigating Explanation-Based Learning
Print on DemandDa: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explanation-Based Learning (EBL) can generally be viewed as substituting background knowledge for the large training set of exemplars needed by conventional or empirical machine learning systems. The background knowledge is used automatically to construc. Codice articolo 5971280
Quantità: Più di 20 disponibili
Foto dell'editore
Investigating Explanation-Based Learning (The Springer International Series in Engineering and Computer Science, 120)
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. In. Codice articolo ria9780792391258_new
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Investigating Explanation-Based Learning
Print on DemandDa: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Explanation-Based Learning (EBL) can generally be viewed as substituting background knowledge for the large training set of exemplars needed by conventional or empirical machine learning systems. The background knowledge is used automatically to construct an explanation of a few training exemplars. The learned concept is generalized directly from this explanation. The first EBL systems of the modern era were Mitchell's LEX2, Silver's LP, and De Jong's KIDNAP natural language system. Two of these systems, Mitchell's and De Jong's, have led to extensive follow-up research in EBL. This book outlines the significant steps in EBL research of the Illinois group under De Jong. This volume describes theoretical research and computer systems that use a broad range of formalisms: schemas, production systems, qualitative reasoning models, non-monotonic logic, situation calculus, and some home-grown ad hoc representations. This has been done consciously to avoid sacrificing the ultimate research significance in favor of the expediency of any particular formalism. The ultimate goal, of course, is to adopt (or devise) the right formalism. 452 pp. Englisch. Codice articolo 9780792391258
Quantità: 2 disponibili
Immagini fornite dal venditore
Investigating Explanation-Based Learning
Editore:
Springer New York, Springer US, 1992
ISBN 10: 079239125X
ISBN 13: 9780792391258
Nuovo
Rilegato
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Explanation-Based Learning (EBL) can generally be viewed as substituting background knowledge for the large training set of exemplars needed by conventional or empirical machine learning systems. The background knowledge is used automatically to construct an explanation of a few training exemplars. The learned concept is generalized directly from this explanation. The first EBL systems of the modern era were Mitchell's LEX2, Silver's LP, and De Jong's KIDNAP natural language system. Two of these systems, Mitchell's and De Jong's, have led to extensive follow-up research in EBL. This book outlines the significant steps in EBL research of the Illinois group under De Jong. This volume describes theoretical research and computer systems that use a broad range of formalisms: schemas, production systems, qualitative reasoning models, non-monotonic logic, situation calculus, and some home-grown ad hoc representations. This has been done consciously to avoid sacrificing the ultimate research significance in favor of the expediency of any particular formalism. The ultimate goal, of course, is to adopt (or devise) the right formalism. Codice articolo 9780792391258
Quantità: 1 disponibili