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Learning Classifier Systems

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Learning Classifier Systems Jaume Bacardit
Libristo kod: 01657128
Nakladnici Springer, Berlin, studeni 2009
This book constitutes the thoroughly refereed joint post-conference proceedings of two consecutive I... Cijeli opis
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This book constitutes the thoroughly refereed joint post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Atlanta, GA, USA in July 2008, and§in Montreal, Canada, in July 2009 - all hosted by the Genetic and Evolutionary Computation Conference, GECCO.§The 12 revised full papers presented were carefully reviewed and selected from the workshop contributions. The papers are organized in topical sections on LCS in general, function approximation, LCS in complex domains, and applications.

Informacije o knjizi

Puni naziv Learning Classifier Systems
Autor Jaume Bacardit, Will Browne, Jan Drugowitsch, Ester Bernadó-Mansilla
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2010
Broj stranica 199
EAN 9783642175077
ISBN 3642175074
Libristo kod 01657128
Nakladnici Springer, Berlin
Težina 327
Dimenzije 159 x 240 x 15

Kategorija

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Digital lifestyle > Internet guides & online services > Internet searching
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Computing & Information Technology > Computer science > Human–computer interaction > User interface design & usability
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Computer programming / software engineering > Database programming
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Databases > Information retrieval
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