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Machine Learning and Data Mining in Pattern Recognition

5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007, Proceedings

Language EnglishEnglish
Book Paperback
Book Machine Learning and Data Mining in Pattern Recognition Petra Perner
Libristo code: 01568844
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, July 2007
Ever wondered what the state of the art is in machine learning and data mining? Well, now you can fi... Full description
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Ever wondered what the state of the art is in machine learning and data mining? Well, now you can find out. This book constitutes the refereed proceedings of the 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, held in Leipzig, Germany, in July 2007. The 66 revised full papers presented together with 1 invited talk were carefully reviewed and selected from more than 250 submissions. The papers are organized in topical sections.

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About the book

Full name Machine Learning and Data Mining in Pattern Recognition
Author Petra Perner
Language English
Binding Book - Paperback
Date of issue 2007
Number of pages 916
EAN 9783540734987
ISBN 3540734988
Libristo code 01568844
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Weight 1354
Dimensions 238 x 162 x 51

Categories

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 science > Artificial intelligence > Pattern recognition
Computing & Information Technology > Computer science > Artificial intelligence > Computer vision
Computing & Information Technology > Computer programming / software engineering > Database programming
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Computer science > Mathematical theory of computation
Computing & Information Technology > Computer science > Image processing
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