Lecture Notes in Artificial Intelligence

Machine Learning and Data Mining in Pattern Recognition

7th International Conference, MLDM 2011, New York, NY, USA, August 30-September 3, 2011Proceedings

Editors: Perner, Petra (Ed.)

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About this book

This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2011, held in New York, NY, USA.

The 44 revised full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized in topical sections on classification and decision theory, theory of learning, clustering, appilication in medicine, Webmining and information mining; and machine learning and image mining.

Table of contents (44 chapters)

  • Quadratically Constrained Maximum a Posteriori Estimation for Binary Classifier

    Yokota, Tatsuya (et al.)

    Pages 1-15

  • Hubness-Based Fuzzy Measures for High-Dimensional k-Nearest Neighbor Classification

    Tomašev, Nenad (et al.)

    Pages 16-30

  • Decisions: Algebra and Implementation

    Danylenko, Antonina (et al.)

    Pages 31-45

  • Smoothing Multinomial Naïve Bayes in the Presence of Imbalance

    Liu, Alexander Y. (et al.)

    Pages 46-59

  • ACE-Cost: Acquisition Cost Efficient Classifier by Hybrid Decision Tree with Local SVM Leaves

    Li, Liyun (et al.)

    Pages 60-74

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-642-23199-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $129.00
price for USA
  • ISBN 978-3-642-23198-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning and Data Mining in Pattern Recognition
Book Subtitle
7th International Conference, MLDM 2011, New York, NY, USA, August 30-September 3, 2011Proceedings
Editors
  • Petra Perner
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
6871
Copyright
2011
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag GmbH Berlin Heidelberg
eBook ISBN
978-3-642-23199-5
DOI
10.1007/978-3-642-23199-5
Softcover ISBN
978-3-642-23198-8
Edition Number
1
Number of Pages
XII, 614
Topics