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" Machine learning : "
Y. Kodratoff (ed.).
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BL
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| Record Number
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746172
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b566121
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| Main Entry
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Y. Kodratoff (ed.).
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| Title & Author
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Machine learning : : EWSL-91 : European working session on learning, Porto, Portugal, March 6-8, 1991 : proceedings\ Y. Kodratoff (ed.).
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| Publication Statement
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Berlin : Springer, ©1991.
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| Series Statement
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Lecture notes in computer science, 482.; Lecture notes in computer science., Lecture notes in artificial intelligence.
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| Page. NO
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(XI, 537 pages) : illustrations
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| ISBN
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3540463089
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: 9783540463085
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| Contents
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Abstracting background knowledge for concept learning --; A multistrategy learning approach to domain modeling and knowledge acquisition --; Using plausible explanations to bias empirical generalization in weak theory domains --; The replication problem: A constructive induction approach --; Integrating an explanation-based learning mechanism into a general problem-solver --; Analytical negative generalization and empirical negative generalization are not cumulative: A case study --; Evaluating and changing representation in concept acquisition --; Application of empirical discovery in knowledge acquisition --; Using accuracy in scientific discovery --; KBG : A generator of knowledge bases --; On estimating probabilities in tree pruning --; Rule induction with CN2: Some recent improvements --; On changing continuous attributes into ordered discrete attributes --; A method for inductive cost optimization --; When does overfitting decrease prediction accuracy in induced decision trees and rule sets? --; Semi-naive bayesian classifier --; Description contrasting in incremental concept formation --; System FLORA: Learning from time-varying training sets --; Message-based bucket brigade: An algorithm for the apportionment of credit problem --; Acquiring object-knowledge for learning systems --; Learning nonrecursive definitions of relations with linus --; Extending explanation-based generalization by abstraction operators --; Static learning for an adaptative theorem prover --; Explanation-based generalization and constraint propagation with interval labels --; Learning by explanation of failures --; PANEL : Logic and learnability --; Panel on : Causality and learning --; Seed space and version space: Generalizing from approximations --; Integrating EBL with automatic text analysis --; Abduction for explanation-based learning --; Consistent term mappings, term partitions, and inverse resolution --; Learning by analogical replay in prodigy: First results --; Analogical reasoning for logic programming --; Case-based learning of strategic knowledge --; Learning in distributed systems and multi-agent environments --; Learning to relate terms in a multiple agent environment --; Extending learning to multiple agents: Issues and a model for multi-agent machine learning (MA-ML) --; Applications of machine learning: Notes from the panel members --; Evaluation of learning systems : An artificial data-based approach --; Shift of bias in learning from drug compounds: The fleming project --; Learning features by experimentation in chess --; Representation and induction of musical structures for computer assisted composition --; IPSA: Inductive protein structure analysis --; Four stances on knowledge acquisition and machine learning --; Programme of EWSL-91.
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| Subject
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Artificial intelligence.
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Computer science.
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Software engineering.
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| Added Entry
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Yves Kodratoff
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| Parallel Title
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Machine learning, EWSL-91
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