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 Literary Travelogue by
Cover of the book Dying and Dead Seas Climatic Versus Anthropic Causes by
Cover of the book Poultry Meat and Egg Production by
Cover of the book Causation and Laws of Nature by
Cover of the book Uncertainty and Quality in Science for Policy by
Cover of the book Bioinformatics of Human Proteomics by
Cover of the book Theory and Evaluation of Formation Pressures by
Cover of the book Forecasting in the Social and Natural Sciences by
Cover of the book Arthropod-Plant Interactions by
Cover of the book Aphid Biodiversity under Environmental Change by
Cover of the book Distinguished Figures in Mechanism and Machine Science by
Cover of the book Patterns of Land Degradation in Drylands by
Cover of the book Two Colonial Empires by
Cover of the book Malignant Effusions by
Cover of the book International Handbook of Rural Demography 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