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Algorithmic Learning Theory

4th International Workshop on Analogical and Inductive Inference, Aii '94, 5th International Workshop on Algorithmic Learning Theory, Alt '94, Reinhardsbrunn Castle, Germany, October 10 - 15, 1994. Proceedings

By: Klaus P. Jantke (Editor), Setsuo Arikawa (Editor)

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Paperback | 28 September 1994

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600 Pages

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This volume presents the proceedings of the Fourth International Workshop on Analogical and Inductive Inference (AII '94) and the Fifth International Workshop on Algorithmic Learning Theory (ALT '94), held jointly at Reinhardsbrunn Castle, Germany in October 1994. (In future the AII and ALT workshops will be amalgamated and held under the single title of Algorithmic Learning Theory.)
The book contains revised versions of 45 papers on all current aspects of computational learning theory; in particular, algorithmic learning, machine learning, analogical inference, inductive logic, case-based reasoning, and formal language learning are addressed.

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Non-Fiction Language & Linguistics Linguistics Philosophy Philosophy & Logic Computing & I.T.Computer Science Artificial Intelligence Expert Systems & Knowledge-Based Systems Mathematics Mathematical Foundation Mathematical Logic

Mathematical Theory of Computation Machine Learning

Towards Efficient Inductive Synthesis from Input/Output Examples	p. 1
Deductive Plan Generation	p. 2
From Specifications to Programs: Induction in the Service of Synthesis	p. 6
Average Case Analysis of Pattern Language Learning Algorithms	p. 8
Enumerable Classes of Total Recursive Functions: Complexity of Inductive Inference	p. 10
Derived Sets and Inductive Inference	p. 26
Therapy Plan Generation as Program Synthesis	p. 40
A Calculus for Logical Clustering	p. 56
Learning with Higher Order Additional Information	p. 64
Efficient Learning of Regular Expressions from Good Examples	p. 76
Identifying Nearly Minimal Godel Numbers from Additional Information	p. 91
Co-Learnability and FIN-Identifiability of Enumerable Classes of Total Recursive Functions	p. 100
On Case-Based Representability and Learnability of Languages	p. 106
Rule-Generating Abduction for Recursive Prolog	p. 121
Fuzzy Analogy Based Reasoning and Classification of Fuzzy Analogies	p. 137
Explanation-Based Reuse of Prolog Programs	p. 149
Constructive Induction for Recursive Programs	p. 161
Training Digraphs	p. 176
Towards Realistic Theories of Learning	p. 187
A Unified Approach to Inductive Logic and Case-Based Reasoning	p. 210
Three Decades of Team Learning	p. 211
On-line Learning with Malicious Noise and the Closure Algorithm	p. 229
Learnability with Restricted Focus of Attention Guarantees Noise-Tolerance	p. 248
Efficient Algorithm for Learning Simple Regular Expressions from Noisy Examples	p. 260
A Note on Learning DNF Formulas Using Equivalence and Incomplete Membership Queries	p. 272
Identifying Regular Languages over Partially-Commutative Monoids	p. 282
Classification Using Information	p. 290
Learning from Examples with Typed Equational Programming	p. 301
Finding Tree Patterns Consistent with Positive and Negative Examples Using Queries	p. 317
Program Synthesis in the Presence of Infinite Number of Inaccuracies	p. 333
On Monotonic Strategies for Learning r.e. Languages	p. 349
Language Learning under Various Types of Constraint Combinations	p. 365
Synthesis Algorithm for Recursive Processes by [mu]-Calculus	p. 379
Monotonicity versus Efficiency for Learning Languages from Texts	p. 395
Learning Concatenations of Locally Testable Languages from Positive Data	p. 407
Language Learning from Good Examples	p. 423
Machine Discovery in the Presence of Incomplete or Ambiguous Data	p. 438
Set-Driven and Rearrangement-Independent Learning of Recursive Languages	p. 453
Refutably Probably Approximately Correct Learning	p. 469
Inductive Inference of an Approximate Concept from Positive Data	p. 484
Efficient Distribution-Free Population Learning of Simple Concepts	p. 500
Constructing Predicate Mappings for Goal-Dependent Abstraction	p. 516
Learning Languages by Collecting Cases and Tuning Parameters	p. 532
Mutual Information Gaining Algorithm and Its Relation to PAC-Learning Algorithm	p. 547
Inductive Inference of Monogenic Pure Context-Free Languages	p. 560
Index of Authors	p. 575
Table of Contents provided by Blackwell. All Rights Reserved.

Algorithmic Learning Theory

4th International Workshop on Analogical and Inductive Inference, Aii '94, 5th International Workshop on Algorithmic Learning Theory, Alt '94, Reinhardsbrunn Castle, Germany, October 10 - 15, 1994. Proceedings

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