Machine Learning and Systems Engineering

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Networking & Communications, Computer Security, General Computing
Cover of the book Machine Learning and Systems Engineering by , Springer Netherlands
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9789048194193
Publisher: Springer Netherlands Publication: October 5, 2010
Imprint: Springer Language: English
Author:
ISBN: 9789048194193
Publisher: Springer Netherlands
Publication: October 5, 2010
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer Netherlands

Cover of the book The Comedian as the Letter D: Erasmus Darwin’s Comic Materialism by
Cover of the book The Teaching Cases from Annals of Oncology by
Cover of the book Cancer Systems Biology, Bioinformatics and Medicine by
Cover of the book Computers and Writing by
Cover of the book The Sun, the Solar Wind, and the Heliosphere by
Cover of the book The Economic Valuation of Green Electricity by
Cover of the book Plant Nutrition of Greenhouse Crops by
Cover of the book The Nature of Technological Knowledge. Are Models of Scientific Change Relevant? by
Cover of the book Evaluation of Continuing Education in the Health Professions by
Cover of the book Sixth International Visual Field Symposium by
Cover of the book Wildlife Conservation Evaluation by
Cover of the book Haptics for Virtual Reality and Teleoperation by
Cover of the book Ammonoid Paleobiology: From macroevolution to paleogeography by
Cover of the book Emerging Issues in Prison Health by
Cover of the book Production and Use of Urban Knowledge by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy