Systems that learn : an introduction to learning theory / Sanjay Jain [and others].
Τύπος υλικού:
ΚείμενοΣειρά: Learning, development, and conceptual changeΛεπτομέρειες δημοσίευσης: Cambridge, Mass. : MIT Press, �1999.Έκδοση: 2nd edΠεριγραφή: 1 online resource (xii, 317 pages) : illustrationsΤύπος περιεχομένου: - text
- computer
- online resource
- 0585108129
- 9780585108124
- 9780262100779
- 0262100770
- Learning -- Mathematical aspects
- Learning, Psychology of
- Human information processing -- Mathematical models
- SCIENCE -- Cognitive Science
- PSYCHOLOGY -- Cognitive Psychology
- Learning -- Mathematical aspects
- Learning, Psychology of
- Human information processing -- Mathematical models
- Leertheorie�en
- Human information processing -- Mathematical models
- Learning, Psychology of
- 153.1/5/015113 21
- BF318 .O83 1999eb
- G442-37
"A Bradford book."
Includes bibliographical references (pages 289-302) and indexes.
Empirical inquiry -- Paradigms -- Some simple paradigms -- Formalities -- Identification -- Languages as theoretically possible realities -- Language identification: Hypotheses, data -- Language identification: Scientists -- Language identification: Scientific success -- Identification as a limiting process -- Characterization of identifiable -- Some alternative paradigms -- Memory-limited scientists -- Second paradigm: Identification of functions -- Characterization of identifiable -- Exercises -- Identification by Computable Scientists -- Language identification by computable scientist -- Function identification by computable scientist -- Parameterized scientists -- Exact identification -- Fundamental Paradigms Generalized -- Strategies for Learning -- Strategies for language identification: Introduction -- Constraints on potential conjectures -- Constraints on the use of information -- Constraint on convergence -- Constraints on the relation between conjectures -- Strategies for function identification -- Criteria of Learning -- Criteria for function identification -- Criteria of language identification -- Inference of Approximations -- Approximations -- Approximate explanatory identification -- Uniform approximate explanatory identification -- Environments -- Inaccurate data -- Texts with additional structure -- Multiple texts -- Part III: Additional Topics -- Team and Probabilistic Learning -- Motivation for identification by teams -- Team identification of functions -- Identification by probabilistic scientists.
Print version record.
OCLC WorldCat Holdings
eBooks on EBSCOhost All EBSCO eBooks
