Advances in Machine Learning and Data Analysis

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Database Management, General Computing
Cover of the book Advances in Machine Learning and Data Analysis by , Springer Netherlands
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9789048131778
Publisher: Springer Netherlands Publication: October 27, 2009
Imprint: Springer Language: English
Author:
ISBN: 9789048131778
Publisher: Springer Netherlands
Publication: October 27, 2009
Imprint: Springer
Language: English

A large international conference on Advances in Machine Learning and Data Analysis was held in UC Berkeley, California, USA, October 22-24, 2008, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2008). This volume contains sixteen 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. Advances in Machine Learning and Data Analysis offers the state of the art of tremendous advances in machine learning and data analysis and also serves as an excellent reference text for researchers and graduate students, working on machine learning and data analysis.

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 Data Analysis was held in UC Berkeley, California, USA, October 22-24, 2008, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2008). This volume contains sixteen 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. Advances in Machine Learning and Data Analysis offers the state of the art of tremendous advances in machine learning and data analysis and also serves as an excellent reference text for researchers and graduate students, working on machine learning and data analysis.

More books from Springer Netherlands

Cover of the book Unbounded Self-adjoint Operators on Hilbert Space by
Cover of the book Sustainable Agriculture Reviews by
Cover of the book The Nature of Culture by
Cover of the book Late Cenozoic Climate Change in Asia by
Cover of the book Denying Existence by
Cover of the book Constructivity and Computability in Historical and Philosophical Perspective by
Cover of the book Speech Act Phenomenology by
Cover of the book Autopoiesis and Cognition by
Cover of the book Redefining Indefinites by
Cover of the book Metternich’s Projects for Reform in Austria by
Cover of the book The Ethics of Diagnosis by
Cover of the book Interrogative Phrases and the Syntax-Semantics Interface by
Cover of the book Developments in Geophysical Exploration Methods by
Cover of the book Living Earth by
Cover of the book The Architecture of Innovative Apprenticeship 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