Overview
- Editors:
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Sio-Iong Ao
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, Unit 1, 1/F, International Association of Engineers, Hong Kong, Hong Kong/PR China
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Burghard Rieger
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Inst.Computerlinguistik, Abt. Linguistische Datenverarbeitung, Universität Trier, Trier, Germany
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Mahyar A. Amouzegar
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Dept. Chemical Engineering, California State University, Long Beach, USA
- Offers the state of the art of tremendous advances in machine learning and systems engineering
- Serves as an excellent reference text for researchers and graduate students, working on machine learning and systems engineering
- Contains forty-six revised and extended research articles written by prominent researchers
- Includes supplementary material: sn.pub/extras
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Table of contents (46 chapters)
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Front Matter
Pages i-xxii
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- Enrico Stoll, Alvar Saenz-Otero, Brent Tweddle
Pages 1-15
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- Joohee Suh, Chong-woo Woo
Pages 17-29
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- Ji-Wung Choi, Renwick Curry, Gabriel Elkaim
Pages 31-45
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- Miloš Šeda, Radomil Matoušek, Pavel Ošmera, Čeněk Šandera, Roman Weisser
Pages 47-57
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- Anuj Kumar, I. P. Singh, S. K. Sud
Pages 59-69
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- Kashif Gill, Abedalrazq Khalil, Yasir Kaheil, Dennis Moon
Pages 71-82
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- Mohd Nizam Omar, Rahmat Budiarto
Pages 83-95
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- David J. Ward, Eric Y. Tao
Pages 97-109
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- R. Marichal, J. D. Piñeiro, E. González, J. Torres
Pages 121-130
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- Radomil Matousek, Josef Bednar
Pages 131-142
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- S. Jassar, Z. Liao, L. Zhao
Pages 143-155
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- R. Montenegro, J. M. Cascón, J. M. Escobar, E. Rodríguez, G. Montero
Pages 157-167
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- Johannes V. Gragger, Anton Haumer, Markus Einhorn
Pages 169-181
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- Jerzy Kozak, Zbigniew GulbinowiczGulbinowicz
Pages 183-195
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- C. Endisch, M. Brache, R. Kennel
Pages 197-211
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- Pavan K. Vempaty, Ka C. Cheok, Robert N. K. Loh, Micho Radovnikovich
Pages 213-225
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- Wei Zhan, Make McDermott, Behbood Zoghi, Muhammad Hasan
Pages 227-241
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- Osama A. Marzouk, E. David Huckaby
Pages 243-256
About this book
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.
Editors and Affiliations
-
, Unit 1, 1/F, International Association of Engineers, Hong Kong, Hong Kong/PR China
Sio-Iong Ao
-
Inst.Computerlinguistik, Abt. Linguistische Datenverarbeitung, Universität Trier, Trier, Germany
Burghard Rieger
-
Dept. Chemical Engineering, California State University, Long Beach, USA
Mahyar A. Amouzegar