ENGLISH

Machine Learning and Systems Engineering

By Sio-Iong Ao , Enrico Stoll , Alvar Saenz-Otero , Brent Tweddle (auth.) , Burghard Rieger , Mahyar A. Amouzegar (eds.)

Book information

Publisher
Springer Netherlands
Year
2010
ISBN
9048194180, 9789048194186
DOI
10.1007/978-90-481-9419-3
Language
english
Format
PDF
Filesize
12 MB (12355726 bytes)
Series
Lecture Notes in Electrical Engineering 68
Edition
1
Pages
614\606
Topic
Education
Library
demonoid.me
Time added
2011-03-04 03:37:09
Computational Intelligence; Artificial Intelligenc

Description

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.

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