Machine Learning — EWSL-91: European Working Session on Learning Porto, Portugal, March 6–8, 1991 Proceedings

Abstracting background knowledge for concept learning....Pages 1-13
A multistrategy learning approach to domain modeling and knowledge acquisition....Pages 14-32
Using plausible explanations to bias empirical generalization in weak theory domains....Pages 33-43
The replication problem: A constructive induction approach....Pages 44-61
Integrating an explanation-based learning mechanism into a general problem-solver....Pages 62-80
Analytical negative generalization and empirical negative generalization are not cumulative: A case study....Pages 81-88
Evaluating and changing representation in concept acquisition....Pages 89-100
Application of empirical discovery in knowledge acquisition....Pages 101-117
Using accuracy in scientific discovery....Pages 118-136
KBG : A generator of knowledge bases....Pages 137-137
On estimating probabilities in tree pruning....Pages 138-150
Rule induction with CN2: Some recent improvements....Pages 151-163
On changing continuous attributes into ordered discrete attributes....Pages 164-178
A method for inductive cost optimization....Pages 179-191
When does overfitting decrease prediction accuracy in induced decision trees and rule sets?....Pages 192-205
Semi-naive bayesian classifier....Pages 206-219
Description contrasting in incremental concept formation....Pages 220-233
System FLORA : Learning from time-varying training sets....Pages 234-234
Message-based bucket brigade: An algorithm for the apportionment of credit problem....Pages 235-244
Acquiring object-knowledge for learning systems....Pages 245-264
Learning nonrecursive definitions of relations with linus....Pages 265-281
Extending explanation-based generalization by abstraction operators....Pages 282-297
Static learning for an adaptative theorem prover....Pages 298-311
Explanation-based generalization and constraint propagation with interval labels....Pages 312-326
Learning by explanation of failures....Pages 327-343
PANEL : Logic and learnability....Pages 344-344
Panel on : Causality and learning....Pages 345-345
Seed space and version space: Generalizing from approximations....Pages 346-346
Integrating EBL with automatic text analysis....Pages 347-347
Abduction for explanation-based learning....Pages 348-360
Consistent term mappings, term partitions, and inverse resolution....Pages 361-374
Learning by analogical replay in prodigy: First results....Pages 375-390
Analogical reasoning for logic programming....Pages 391-397
Case-based learning of strategic knowledge....Pages 398-411
Learning in distributed systems and multi-agent environments....Pages 412-423
Learning to relate terms in a multiple agent environment....Pages 424-439
Extending learning to multiple agents: Issues and a model for multi-agent machine learning (MA-ML)....Pages 440-456
Applications of machine learning: Notes from the panel members....Pages 457-462
Evaluation of learning systems : An artificial data-based approach....Pages 463-481
Shift of bias in learning from drug compounds: The fleming project....Pages 482-493
Learning features by experimentation in chess....Pages 494-511
Representation and induction of musical structures for computer assisted composition....Pages 512-512
IPSA: Inductive protein structure analysis....Pages 513-513
Four stances on knowledge acquisition and machine learning....Pages 514-533
Programme of EWSL-91....Pages 534-537