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Advances in Machine Learning and Data Analysis

Jezik EngleskiEngleski
Knjiga Tvrdi uvez
Knjiga Advances in Machine Learning and Data Analysis Mahyar A. Amouzegar
Libristo kod: 01972929
Nakladnici Springer Netherlands, studeni 2008
A large international conference on Advances in Machine Learning and Data Analysis was held in UC Be... Cijeli opis
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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.

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Informacije o knjizi

Puni naziv Advances in Machine Learning and Data Analysis
Autor Mahyar A. Amouzegar
Jezik Engleski
Uvez Knjiga - Tvrdi uvez
Datum izdanja 2009
Broj stranica 239
EAN 9789048131761
ISBN 9048131766
Libristo kod 01972929
Nakladnici Springer Netherlands
Težina 518
Dimenzije 156 x 239 x 15

Kategorija

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Computer programming / software engineering > Database programming
Computing & Information Technology > Databases > Data mining
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