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Eyke Hullermeier has written 5 work(s)
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Product Description: The topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable attention in artificial intelligence research in previous years. It involves learning from observations that reveal information about the preferences of an individual or a class of individuals...read more
Hardcover:
9783642141249 | Springer-Verlag New York Inc, December 1, 2010, cover price $179.00 | About this edition: The topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable attention in artificial intelligence research in previous years.
Paperback:
9783642140488 | Springer-Verlag New York Inc, July 21, 2010, cover price $179.00
Paperback:
9783642140549 | Springer-Verlag New York Inc, July 12, 2010, cover price $209.00
Product Description: TheInternationalConferenceonInformationProcessingandManagementof- certaintyinKnowledge-BasedSystems, IPMU, isorganizedeverytwoyearswith the aim of bringing together scientists working on methods for the management of uncertainty and aggregationof information in intelligent systems...read more
Paperback:
9783642140570 | Springer-Verlag New York Inc, July 12, 2010, cover price $209.00 | About this edition: TheInternationalConferenceonInformationProcessingandManagementof- certaintyinKnowledge-BasedSystems, IPMU, isorganizedeverytwoyearswith the aim of bringing together scientists working on methods for the management of uncertainty and aggregationof information in intelligent systems.
Product Description: Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inference principle, which is fundamental to CBR...read more
Hardcover:
9781402056949 | Kluwer Academic Pub, May 30, 2007, cover price $189.00 | About this edition: Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inference principle, which is fundamental to CBR.
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