Systems that learn : an introduction to learning theory /

• Άλλοι συγγραφείς: Jain, Sanjay, 1965 February 22-
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cambridge, Mass. : MIT Press, �1999.
• Έκδοση: 2nd ed.
• Σειρά: Learning, development, and conceptual change.
• Θέματα: Learning > Mathematical aspects.; Learning, Psychology of.; Human information processing > Mathematical models.; SCIENCE > Cognitive Science.; PSYCHOLOGY > Cognitive Psychology.; Leertheorie�en.; Electronic books.

Πίνακας περιεχομένων:

• 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.