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Systems that learn : an introduction to learning theory / Sanjay Jain ... [and others].
- Format:
- Book
- Author/Creator:
- Jain, Sanjay, 1965 February 22- author.
- Series:
- Learning, development, and conceptual change
- Language:
- English
- Subjects (All):
- Human information processing--Mathematical models.
- Learning--Mathematical models.
- Learning, Psychology of.
- Human information processing.
- Physical Description:
- 1 online resource (xii, 317 pages) : illustrations.
- Edition:
- Second edition.
- Other Title:
- MIT Press CogNet.
- Place of Publication:
- Cambridge, Massachusetts : The MIT Press, [1999]
- System Details:
- text file
- Summary:
- Formal learning theory is one of several mathematical approaches to the study of intelligent adaptation to the environment. The analysis developed in this book is based on a number theoretical approach to learning and uses the tools of recursive-function theory to understand how learners come to an accurate view of reality. This revised and expanded edition of a successful text provides a comprehensive, self-contained introduction to the concepts and techniques of the theory. Exercises throughout the text provide experience in the use of computational arguments to prove facts about learning.
- Contents:
- 1.1 Empirical inquiry 3
- 1.2 Paradigms 5
- 1.3 Some simple paradigms 5
- 2 Formalities 15
- 3 Identification 27
- 3.1 Languages as theoretically possible realities 27
- 3.2 Language identification: Hypotheses, data 31
- 3.3 Language identification: Scientists 32
- 3.4 Language identification: Scientific success 35
- 3.5 Identification as a limiting process 38
- 3.6 Characterization of identifiable 40
- 3.7 Some alternative paradigms 44
- 3.8 Memory-limited scientists 45
- 3.9 Second paradigm: Identification of functions 48
- 3.10 Characterization of identifiable 51
- 3.12 Exercises 55
- 4 Identification by Computable Scientists 61
- 4.2 Language identification by computable scientist 63
- 4.3 Function identification by computable scientist 69
- 4.4 Parameterized scientists 75
- 4.5 Exact identification 81
- II Fundamental Paradigms Generalized 89
- 5 Strategies for Learning 91
- 5.1 Strategies for language identification: Introduction 91
- 5.2 Constraints on potential conjectures 92
- 5.3 Constraints on the use of information 99
- 5.4 Constraint on convergence 100
- 5.5 Constraints on the relation between conjectures 107
- 5.6 Strategies for function identification 115
- 6 Criteria of Learning 127
- 6.1 Criteria for function identification 127
- 6.2 Criteria of language identification 138
- 7 Inference of Approximations 151
- 7.1 Approximations 151
- 7.3 Approximate explanatory identification 154
- 7.4 Uniform approximate explanatory identification 158
- 8 Environments 167
- 8.1 Inaccurate data 168
- 8.2 Texts with additional structure 180
- 8.3 Multiple texts 184
- III Part III: Additional Topics 195
- 9 Team and Probabilistic Learning 197
- 9.2 Motivation for identification by teams 197
- 9.3 Team identification of functions 199
- 9.4 Identification by probabilistic scientists 201
- 9.5 Team Ex-identification 212
- 9.6 Team and probabilistic identification of languages 213
- 10 Learning with Additional Information 221
- 10.2 Upper bound on the size of hypothesis 222
- 10.3 Approximate hypotheses as additional information 235
- 11 Learning with Oracles 251
- 11.2 Oracle scientists 251
- 11.3 Function identification by oracle scientists 252
- 11.4 Language identification by oracle scientists 257
- 12 Complexity Issues in Identification 261
- 12.2 Mind change complexity 262
- 12.3 Number of examples required 264
- 12.4 An axiomatic approach to complexity of convergence 267
- 12.5 Strictly minimal identification of languages 268
- 12.6 Nearly minimal identification 273
- 13 Beyond Identification by Enumeration 281
- 13.1 Gold's and Barzdins conjectures 281
- 13.2 Fulk's refutation of Barzdins conjecture 282.
- Notes:
- "A Bradford book."
- Includes bibliographical references (pages 289-302) and indexes.
- Description based on print version record.
- Other Format:
- Print version: Systems that learn.
- ISBN:
- 9780262276252
- 0262276259
- Access Restriction:
- Restricted for use by site license.
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