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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 III

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6323)

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 (48 papers)

  1. Front Matter

  2. Regular Papers

    1. Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations

      • Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mikko A. Uusitalo
      Pages 1-16
    2. Unsupervised Trajectory Sampling

      • Nikos Pelekis, Ioannis Kopanakis, Costas Panagiotakis, Yannis Theodoridis
      Pages 17-33
    3. Learning with Ensembles of Randomized Trees : New Insights

      • Vincent Pisetta, Pierre-Emmanuel Jouve, Djamel A. Zighed
      Pages 67-82
    4. Entropy and Margin Maximization for Structured Output Learning

      • Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhmann
      Pages 83-98
    5. Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms

      • B. Aditya Prakash, Hanghang Tong, Nicholas Valler, Michalis Faloutsos, Christos Faloutsos
      Pages 99-114
    6. Adapting Decision DAGs for Multipartite Ranking

      • José Ramón Quevedo, Elena Montañés, Oscar Luaces, Juan José del Coz
      Pages 115-130
    7. Modeling Relations and Their Mentions without Labeled Text

      • Sebastian Riedel, Limin Yao, Andrew McCallum
      Pages 148-163
    8. An Efficient and Scalable Algorithm for Local Bayesian Network Structure Discovery

      • Sérgio Rodrigues de Morais, Alex Aussem
      Pages 164-179
    9. Selecting Information Diffusion Models over Social Networks for Behavioral Analysis

      • Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
      Pages 180-195
    10. Online Structural Graph Clustering Using Frequent Subgraph Mining

      • Madeleine Seeland, Tobias Girschick, Fabian Buchwald, Stefan Kramer
      Pages 213-228
    11. Large-Scale Support Vector Learning with Structural Kernels

      • Aliaksei Severyn, Alessandro Moschitti
      Pages 229-244
    12. Synchronization Based Outlier Detection

      • Junming Shao, Christian Böhm, Qinli Yang, Claudia Plant
      Pages 245-260
    13. Laplacian Spectrum Learning

      • Pannagadatta K. Shivaswamy, Tony Jebara
      Pages 261-276
    14. k-Version-Space Multi-class Classification Based on k-Consistency Tests

      • Evgueni Smirnov, Georgi Nalbantov, Nikolay Nikolaev
      Pages 277-292
    15. Complexity Bounds for Batch Active Learning in Classification

      • Philippe Rolet, Olivier Teytaud
      Pages 293-305

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
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