Advances in Machine Learning and Data Analysis
Author | : Mahyar Amouzegar |
Publisher | : Springer Science & Business Media |
Total Pages | : 241 |
Release | : 2009-10-27 |
ISBN-10 | : 9789048131778 |
ISBN-13 | : 9048131774 |
Rating | : 4/5 (78 Downloads) |
Download or read book Advances in Machine Learning and Data Analysis written by Mahyar Amouzegar and published by Springer Science & Business Media. This book was released on 2009-10-27 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.