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.
| ISBN: | 9789400733749 |
| Publication date: | 5th December 2012 |
| Author: | SioIong Ao, Burghard B Rieger, Mahyar Amouzegar |
| Publisher: | Springer an imprint of Springer Netherlands |
| Format: | Paperback |
| Pagination: | 614 pages |
| Series: | Lecture Notes in Electrical Engineering |
| Genres: |
Artificial intelligence Network security Computer security |
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.
Machine Learning and Systems Engineering features in the following genres: Artificial intelligence, Network security, Computer security
Machine Learning and Systems Engineering is available in Paperback
Machine Learning and Systems Engineering was written by SioIong Ao, Burghard B Rieger, Mahyar Amouzegar and published by Springer an imprint of Springer Netherlands
Machine Learning and Systems Engineering has 614 pages
Yes it is part of Lecture Notes in Electrical Engineering series