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A large international conference on Advances in Machine Learning and Systems Engineering was held in UC Berkeley, California, USA, October 20-22, 2009, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2009). Machine Learning and Systems Engineering contains forty-six revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Expert system, Intelligent decision making, Knowledge-based systems, Knowledge extraction, Data analysis tools, Computational biology, Optimization algorithms, Experiment designs, Complex system identification, Computational modeling, and industrial applications. Machine Learning and Systems Engineering offers the state of the art of tremendous advances in machine learning and systems engineering and also serves as an excellent reference text for researchers and graduate students, working on machine learning and systems engineering.

Détails
Auteur
Mahyar  Amouzegar , Sio-Iong  Ao , Burghard B.  Rieger
Marque
Springer
Collection
Lecture Notes in Electrical Engineering
Parution
2010-10-05
Pages
614 pages
EAN papier
9789048194186
Langue
Anglais
Informations ebook
EAN EPUB
9789048194193
Prix
213,99 €
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Nb pages copiables 6
Nb pages imprimables 61
Taille du fichier 7782 Ko
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