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Machine Learning and Systems Engineering
. Ed(S): Ao, Sio-Iong; Rieger, Burghard B.; Amouzegar, Mahyar A.
€ 253.46
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Description for Machine Learning and Systems Engineering
Hardback. 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). This title contains research articles written by prominent researchers participating in the conference. Editor(s): Ao, Sio-Iong; Rieger, Burghard B.; Amouzegar, Mahyar A. Series: Lecture Notes in Electrical Engineering. Num Pages: 636 pages, biography. BIC Classification: TBC; UTN; UYQM. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 34. Weight in Grams: 1061.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2010
Publisher
Springer Netherlands
Number of pages
636
Condition
New
Series
Lecture Notes in Electrical Engineering
Number of Pages
614
Place of Publication
Dordrecht, Netherlands
ISBN
9789048194186
SKU
V9789048194186
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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