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Page vi
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
5.7 Bibliographic notes
120
5.8 Exercises
122
6
Criteria of Learning
127
6.1 Criteria for function identification
127
6.2 Criteria of language identification
138
6.3 Bibliographic notes
144
6.4 Exercises
145
7
Inference of Approximations
151
7.1 Approximations
151
7.2 Some background
152
7.3 Approximate explanatory identification
154
7.4 Uniform approximate explanatory identification
158
7.5 Bibliographic notes
163
7.6 Exercises
163
8
Environments
167
8.1 Inaccurate data
168
8.2 Texts with additional structure
180
8.3 Multiple texts
184
8.4 Bibliographic notes
189
8.5 Exercises
189
III
Part III: Additional Topics
195
9
Team and Probabilistic Learning
197
9.1 Introduction
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 vi-001.gif
212
9.6 Team and probabilistic identification of languages
213
9.7 Bibliographic notes
219
9.8 Exercises
219
10
Learning with Additional Information
221
10.1 Introduction
221
10.2 Upper bound on the size of hypothesis
222
10.3 Approximate hypotheses as additional information
235
10.4 Bibliographic notes
244
10.5 Exercises
245

 
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