Knowledge Representation and Organization in Machine Learning. Lecture Notes in Artificial Intelligence 347 (Edited by J. Siekmann) - cópia assinada
1989, ISBN: 354050768X
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Knowledge Representation and Organization in Machine Learning. Lecture Notes in Artificial Intelligence 347 (Edited by J. Siekmann) - cópia assinada
1989, ISBN: 354050768X
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[EAN: 9783540507680], Gebraucht, sehr guter Zustand, [PU: Springer Berlin], 319 Seiten altersentsprechend gebrauchtes gutes Exemplar, Einband leicht berieben, Inhalt ist gut bis sehr gut … mais…
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ISBN: 9783540507680
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1989, ISBN: 354050768X
[EAN: 9783540507680], [SC: 0.0], [PU: Springer], Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jac… mais…
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Knowledge Representation and Organization in Machine Learning. Lecture Notes in Artificial Intelligence 347 (Edited by J. Siekmann) - cópia assinada
1989, ISBN: 354050768X
Livro de bolso
[EAN: 9783540507680], Gebraucht, sehr guter Zustand, [SC: 3.75], [PU: Springer Berlin], 319 Seiten altersentsprechend gebrauchtes gutes Exemplar, Einband leicht berieben, Inhalt ist gut b… mais…
Morik, K.:
Knowledge Representation and Organization in Machine Learning. Lecture Notes in Artificial Intelligence 347 (Edited by J. Siekmann) - cópia assinada1989, ISBN: 354050768X
Livro de bolso
[EAN: 9783540507680], Gebraucht, sehr guter Zustand, [PU: Springer Berlin], 319 Seiten altersentsprechend gebrauchtes gutes Exemplar, Einband leicht berieben, Inhalt ist gut bis sehr gut … mais…
ISBN: 9783540507680
*Knowledge Representation and Organization in Machine Learning* - Auflage 1989 / Taschenbuch für 53.49 € / Aus dem Bereich: Bücher, English,, International, Gebundene, Ausgaben Medien > B… mais…
ISBN: 9783540507680
*Knowledge Representation and Organization in Machine Learning* - Auflage 1989 / Taschenbuch für 53.49 € / Aus dem Bereich: Bücher, Ratgeber, Computer & Internet Medien > Bücher nein Buch… mais…
1989, ISBN: 354050768X
[EAN: 9783540507680], [SC: 0.0], [PU: Springer], Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jac… mais…
Dados bibliográficos do melhor livro correspondente
Autor: | |
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Dados detalhados do livro - Knowledge Representation and Organization in Machine Learning
EAN (ISBN-13): 9783540507680
ISBN (ISBN-10): 354050768X
Livro de capa dura
Livro de bolso
Ano de publicação: 1989
Editor/Editora: Springer Berlin Heidelberg
319 Páginas
Peso: 0,515 kg
Língua: eng/Englisch
Livro na base de dados desde 2007-05-31T21:00:49+01:00 (Lisbon)
Página de detalhes modificada pela última vez em 2024-02-12T12:09:44+00:00 (Lisbon)
Número ISBN/EAN: 9783540507680
Número ISBN - Ortografia alternativa:
3-540-50768-X, 978-3-540-50768-0
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: berlin, morik
Título do livro: machine intelligence, not, organization science, computer organization, lecture notes artificial intelligence, international organization, the machine seen, paper knowledge, knowledge representation and organization machine learning, 347
Dados da editora
Autor: Katharina Morik
Título: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Knowledge Representation and Organization in Machine Learning
Editora: Springer; Springer Berlin
322 Páginas
Ano de publicação: 1989-01-25
Berlin; Heidelberg; DE
Língua: Inglês
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XVIII, 322 p.
BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; artificial intelligence; expert system; inference engine; intelligence; knowledge base; knowledge representation; knowledge-based system; knowledge-based systems; learning; machine learning; ontology; Artificial Intelligence; EA
Explanation: A source of guidance for knowledge representation.- (Re)presentation issues in second generation expert systems.- Some aspects of learning and reorganization in an analogical representation.- A knowledge-intensive learning system for document retrieval.- Constructing expert systems as building mental models or toward a cognitive ontology for expert systems.- Sloppy modeling.- The central role of explanations in disciple.- An inference engine for representing multiple theories.- The acquisition of model-knowledge for a model-driven machine learning approach.- Using attribute dependencies for rule learning.- Learning disjunctive concepts.- The use of analogy in incremental SBL.- Knowledge base refinement using apprenticeship learning techniques.- Creating high level knowledge structures from simple elements.- Demand-driven concept formation.Outros livros adicionais, que poderiam ser muito similares com este livro:
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