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Machine Learning and Data Mining in Pattern Recognition

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

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Machine Learning and Data Mining in Pattern Recognition Petra Perner
Libristo kod: 01568844
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, srpanj 2007
Ever wondered what the state of the art is in machine learning and data mining? Well, now you can fi... Cijeli opis
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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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Informacije o knjizi

Puni naziv Machine Learning and Data Mining in Pattern Recognition
Autor Petra Perner
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2007
Broj stranica 916
EAN 9783540734987
ISBN 3540734988
Libristo kod 01568844
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Težina 1354
Dimenzije 238 x 162 x 51

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 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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