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  • Conference proceedings
  • © 2010

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part II

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6322)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases

Conference proceedings info: ECML PKDD 2010.

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Table of contents (32 papers)

  1. Front Matter

  2. Regular Papers

    1. Bayesian Knowledge Corroboration with Logical Rules and User Feedback

      • Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, Thore Graepel
      Pages 1-18
    2. Learning an Affine Transformation for Non-linear Dimensionality Reduction

      • Pooyan Khajehpour Tadavani, Ali Ghodsi
      Pages 19-34
    3. NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification

      • Hyungsul Kim, Sangkyum Kim, Tim Weninger, Jiawei Han, Tarek Abdelzaher
      Pages 35-50
    4. Hidden Conditional Ordinal Random Fields for Sequence Classification

      • Minyoung Kim, Vladimir Pavlovic
      Pages 51-65
    5. A Unifying View of Multiple Kernel Learning

      • Marius Kloft, Ulrich Rückert, Peter L. Bartlett
      Pages 66-81
    6. Evolutionary Dynamics of Regret Minimization

      • Tomas Klos, Gerrit Jan van Ahee, Karl Tuyls
      Pages 82-96
    7. Recognition of Instrument Timbres in Real Polytimbral Audio Recordings

      • Elżbieta Kubera, Alicja Wieczorkowska, Zbigniew Raś, Magdalena Skrzypiec
      Pages 97-110
    8. Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks

      • Chris J. Kuhlman, V. S. Anil Kumar, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz
      Pages 111-127
    9. Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction

      • Pavel Kuksa, Yanjun Qi, Bing Bai, Ronan Collobert, Jason Weston, Vladimir Pavlovic et al.
      Pages 128-144
    10. Online Knowledge-Based Support Vector Machines

      • Gautam Kunapuli, Kristin P. Bennett, Amina Shabbeer, Richard Maclin, Jude Shavlik
      Pages 145-161
    11. Learning with Randomized Majority Votes

      • Alexandre Lacasse, François Laviolette, Mario Marchand, Francis Turgeon-Boutin
      Pages 162-177
    12. Exploration in Relational Worlds

      • Tobias Lang, Marc Toussaint, Kristian Kersting
      Pages 178-194
    13. Efficient Confident Search in Large Review Corpora

      • Theodoros Lappas, Dimitrios Gunopulos
      Pages 195-210
    14. Learning to Tag from Open Vocabulary Labels

      • Edith Law, Burr Settles, Tom Mitchell
      Pages 211-226
    15. A Robustness Measure of Association Rules

      • Yannick Le Bras, Patrick Meyer, Philippe Lenca, Stéphane Lallich
      Pages 227-242
    16. Automatic Model Adaptation for Complex Structured Domains

      • Geoffrey Levine, Gerald DeJong, Li-Lun Wang, Rajhans Samdani, Shankar Vembu, Dan Roth
      Pages 243-258
    17. Collective Traffic Forecasting

      • Marco Lippi, Matteo Bertini, Paolo Frasconi
      Pages 259-273
    18. On Detecting Clustered Anomalies Using SCiForest

      • Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou
      Pages 274-290

Editors and Affiliations

  • Departamento de Matemáticas, Estadística y Computación, Universidad de Cantabria, Santander, Spain

    José Luis Balcázar

  • Yahoo! Research Barcelona, Barcelona, Spain

    Francesco Bonchi, Aristides Gionis

  • TAO, CNRS-INRIA-LRI, Université Paris-Sud, Orsay, France

    Michèle Sebag

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access