Advances in Machine Learning and Data Analysis
| Autor: | Mahyar A. Amouzegar, Sio-Iong Ao, Burghard B. Rieger |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Optimization algorithm
Intelligent decision making Computer science business.industry Machine learning computer.software_genre Data science Expert system Identification (information) Knowledge extraction Graduate students State (computer science) Artificial intelligence Analysis tools business computer |
| Zdroj: | Lecture Notes in Electrical Engineering ISBN: 9789048131761 Advances in Machine Learning and Data Analysis |
| DOI: | 10.1007/978-90-481-3177-8 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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