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

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Bibliografske podrobnosti
Glavni avtor: Kodratoff, Yves, 19..-...., chercheur en informatique
Format: Livre numérique
Jezik:Anglais
Izdano: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Serija:Lecture notes in computer science. Lecture notes in artificial intelligence 482
Teme:
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Sporočilo: Actes d'un séminaire tenu à Porto du 6 au 8 mars 1991, d'après l écran-titre
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Machine learning, EWSL-91, proceedings, European Working Session on Learning, Porto, Portugal, March 6-8, 1991, Berlin, Springer-Verlag, 1991, 1 vol. (XI-537 p.), Lecture notes in computer science, 3-540-53816-X
• Machine Learning - EWSL-91, Texte imprimé, 9783662190463
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100 1 |a Kodratoff, Yves,  |d 19..-....,  |c chercheur en informatique. 
245 1 0 |a Machine Learning EWSL-91 :  |b European Working Session on Learning, Porto, Portugal, March 6 8, 1991 : proceedings   |c [edited by] Yves Kodratoff. 
260 |a Berlin [etc.] :  |b Springer. 
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490 0 |a Lecture notes in computer science. Lecture notes in artificial intelligence  |v 482  |x 1611-3349  |x 2945-9141 
500 |a Actes d'un séminaire tenu à Porto du 6 au 8 mars 1991, d'après l écran-titre 
500 |a Archives Springer e-books (Licence nationale) 
500 |a Archives Springer e-books (Licence nationale) 
505 0 |a 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. 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
506 |a Accès soumis à abonnement pour tout autre établissement 
506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
650 |a Génie logiciel 
650 |a Informatique 
650 |a Apprentissage automatique 
650 |a Intelligence artificielle 
650 |a Actes de congrès 
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