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    Machine Learning and Systems Engineering

Machine Learning and Systems Engineering

Sio-Iong Ao
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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.
      Format: Paperback / softback CONTRIBUTORS: Sio-Iong Ao EAN: 9789400733749 COUNTRY: Netherlands PAGES: WEIGHT: 961 g HEIGHT: 235 cm
      PUBLISHED BY: Springer DATE PUBLISHED: 2012-12-05 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Security / General, TECHNOLOGY & ENGINEERING / Engineering (General) WIDTH: 155 cm SPINE:

      Book Themes:

      Computer security, Network security, Artificial intelligence

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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.
      Format: Paperback / softback CONTRIBUTORS: Sio-Iong Ao EAN: 9789400733749 COUNTRY: Netherlands PAGES: WEIGHT: 961 g HEIGHT: 235 cm
      PUBLISHED BY: Springer DATE PUBLISHED: 2012-12-05 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Security / General, TECHNOLOGY & ENGINEERING / Engineering (General) WIDTH: 155 cm SPINE:

      Book Themes:

      Computer security, Network security, Artificial intelligence

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      Be the first to write a review
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