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Machine Learning - EWSL-91

European Working Session on Learning, Porto, Portugal, March 6-8, 1991. Proceedings
BuchKartoniert, Paperback
541 Seiten
Englisch
Springererschienen am20.02.19911991
A volume of conference proceedings which describes the most recent advances in the field of machine learning. Focusing on the state of current research in Europe, the text describes multi-strategy learning, inversion of resolution and multi-agents.mehr

Produkt

KlappentextA volume of conference proceedings which describes the most recent advances in the field of machine learning. Focusing on the state of current research in Europe, the text describes multi-strategy learning, inversion of resolution and multi-agents.
Details
ISBN/GTIN978-3-540-53816-5
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr1991
Erscheinungsdatum20.02.1991
Auflage1991
ReiheLecture Notes in Computer Science
Seiten541 Seiten
SpracheEnglisch
IllustrationenXI, 541 p.
Artikel-Nr.10743476

Inhalt/Kritik

Inhaltsverzeichnis
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 strategicknowledge.- 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.mehr