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