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• catalog abstract "Machine learning and knowledge acquisition represent two complementary approaches to the acquisition and organization of knowledge for knowledge-based systems. Machine learning has focused on developing autonomous algorithms for acquiring knowledge as data and for knowledge compilation and organization. In contrast, knowledge acquisition has focused on improving and partially automating the acquisition of knowledge from human experts by knowledge engineers. Currently, both fields are moving towards an integrated approach using machine learning techniques to automate knowledge acquisition from experts, and knowledge acquisition techniques to guide and assist the learning process. This is the first book to present some of the most representative approaches to the integration of machine learning and knowledge acquisition such as case-based reasoning, apprenticeship learning, knowledge base refinement through multistrategy learning, example-guided knowledge based revision, and interactive inductive logic programming. It also presents their application to such areas as planning, scheduling, diagnosis, control, information retrieval and robotics. The book's tutorial style and description of real-world applications will make it essential reading for students, researchers and practitioners working in machine learning and knowledge acquisition.".
• catalog contributor b8474120.
• catalog contributor b8474121.
• catalog created "c1995.".
• catalog date "1995".
• catalog date "c1995.".
• catalog dateCopyrighted "c1995.".
• catalog description "Currently, both fields are moving towards an integrated approach using machine learning techniques to automate knowledge acquisition from experts, and knowledge acquisition techniques to guide and assist the learning process.".
• catalog description "Includes bibliographical references and indexes.".
• catalog description "Introduction / Gheorghe Tecuci and Yves Kodratoff -- 1. Building knowledge bases through multistrategy learning and knowledge acquisition / Gheorghe Tecuci -- 2. Increasing levels of assistance in refinement of knowledge-based retrieval systems / Catherine Baudin, Smadar Kedar and Barney Pell -- 3. Towards method-independent knowledge acquisition / Yolanda Gil and Cecile Paris -- 4. An integrated framework for knowledge representation and theory revision / Moshe Koppel, Albert Maria Segre and Ronen Feldman -- 5. From balanced cooperative modelling to embedded adaptivity: using inductive logic programming techniques for knowledge acquisition / Stefan Wrobel -- 6. Cooperative knowledge evolution for complex domains / Franz Schmalhofer and Bidjan Tschaitschian -- 7. A machine learning approach to knowledge-based software engineering / Christopher A. Miller and Keith R. Levi -- 8. Knowledge acquisition and learning by experience -- the role of case-specific knowledge / Agnar Aamodt.".
• catalog description "Machine learning and knowledge acquisition represent two complementary approaches to the acquisition and organization of knowledge for knowledge-based systems. Machine learning has focused on developing autonomous algorithms for acquiring knowledge as data and for knowledge compilation and organization. In contrast, knowledge acquisition has focused on improving and partially automating the acquisition of knowledge from human experts by knowledge engineers.".
• catalog description "The book's tutorial style and description of real-world applications will make it essential reading for students, researchers and practitioners working in machine learning and knowledge acquisition.".
• catalog description "This is the first book to present some of the most representative approaches to the integration of machine learning and knowledge acquisition such as case-based reasoning, apprenticeship learning, knowledge base refinement through multistrategy learning, example-guided knowledge based revision, and interactive inductive logic programming. It also presents their application to such areas as planning, scheduling, diagnosis, control, information retrieval and robotics.".
• catalog extent "vi, 325 p. :".
• catalog hasFormat "Machine learning and knowledge acquisition.".
• catalog identifier "0126851204".
• catalog isFormatOf "Machine learning and knowledge acquisition.".
• catalog isPartOf "Knowledge-based systems (London, England) ; v. 14.".
• catalog isPartOf "Knowledge-based systems book series ; v. 14".
• catalog issued "1995".
• catalog issued "c1995.".
• catalog language "eng".
• catalog publisher "London ; San Diego : Academic Press,".
• catalog relation "Machine learning and knowledge acquisition.".
• catalog subject "Artificial intelligence.".
• catalog subject "Expert systems (Computer science)".
• catalog subject "Knowledge acquisition (Expert systems)".
• catalog subject "Machine learning.".
• catalog subject "QA76.76.E95 M33 1995".
• catalog tableOfContents "Introduction / Gheorghe Tecuci and Yves Kodratoff -- 1. Building knowledge bases through multistrategy learning and knowledge acquisition / Gheorghe Tecuci -- 2. Increasing levels of assistance in refinement of knowledge-based retrieval systems / Catherine Baudin, Smadar Kedar and Barney Pell -- 3. Towards method-independent knowledge acquisition / Yolanda Gil and Cecile Paris -- 4. An integrated framework for knowledge representation and theory revision / Moshe Koppel, Albert Maria Segre and Ronen Feldman -- 5. From balanced cooperative modelling to embedded adaptivity: using inductive logic programming techniques for knowledge acquisition / Stefan Wrobel -- 6. Cooperative knowledge evolution for complex domains / Franz Schmalhofer and Bidjan Tschaitschian -- 7. A machine learning approach to knowledge-based software engineering / Christopher A. Miller and Keith R. Levi -- 8. Knowledge acquisition and learning by experience -- the role of case-specific knowledge / Agnar Aamodt.".
• catalog title "Machine learning and knowledge acquisition : integrated approaches / edited by Gheorghe Tecuci, Yves Kodratoff.".
• catalog type "text".