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Machine Learning and Data Mining in Pattern Recognition: 4th International
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Machine Learning and Data Mining in Pattern Recognition: 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings Paperback - 2005 - 2005th Edition

by Petra Perner (Editor); Atsushi Imiya (Editor)

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Nowadays, architectures for wireless communication are mostly based on single-hop cellular networks, e.g., the Global System for Mobile communications (GSM) [1].

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  • Title Machine Learning and Data Mining in Pattern Recognition: 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings
  • Author Petra Perner (Editor); Atsushi Imiya (Editor)
  • Binding Paperback
  • Edition number 2005th
  • Edition 2005
  • Pages 698
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Date 2005-07-08
  • ISBN 9783540269236 / 3540269231
  • Weight 2.18 lbs (0.99 kg)
  • Dimensions 9.21 x 6.14 x 1.44 in (23.39 x 15.60 x 3.66 cm)
  • Library of Congress Catalog Number 2005928444
  • Dewey Decimal Code 006.312

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Machine Learning and Data Mining in Pattern Recognition: 4th International Conference, MLDM 2005,...
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Machine Learning and Data Mining in Pattern Recognition: 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings ... / Lecture Notes in Artificial Intelligence)

by Perner, Petra [Editor]; Imiya, Atsushi [Editor];

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Machine Learning and Data Mining in Pattern Recognition : 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings

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Machine Learning and Data Mining in Pattern Recognition: 4th International Conference, MLDM 2005,...

Machine Learning and Data Mining in Pattern Recognition: 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings

by Petra Perner

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Paperback
ISBN 10 / ISBN 13
9783540269236 / 3540269231
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Paperback / softback. New. Machine learning and data mining are irreplaceable subjects and tools for the theory of pattern recognition and in applications of pattern recognition such as bioinformatics and data retrieval.
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