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  • Conference proceedings
  • © 2009

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II

Editors:

  1. Wray Buntine

    1. NICTA, Locked Bag 8001, Canberra, 2601, Australia and Helsinki Institute of IT, Finland

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  2. Marko Grobelnik

    1. Dept. of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia

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  3. Dunja Mladenić

    1. Dept. of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia

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  4. John Shawe-Taylor

    1. The Centre for Computational Statistics and Machine Learning Department of Computer Science, University College London, London, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5782)

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 2009.

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Table of contents (57 papers)

  1. Front Matter

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  2. Regular Papers

    2. A Convex Method for Locating Regions of Interest with Multi-instance Learning

      • Yu-Feng Li, James T. Kwok, Ivor W. Tsang, Zhi-Hua Zhou
      Pages 15-30

    3. Active Learning for Reward Estimation in Inverse Reinforcement Learning

      • Manuel Lopes, Francisco Melo, Luis Montesano
      Pages 31-46

    4. Simulated Iterative Classification A New Learning Procedure for Graph Labeling

      • Francis Maes, Stéphane Peters, Ludovic Denoyer, Patrick Gallinari
      Pages 47-62

    6. Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams

      • Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham
      Pages 79-94

    7. Neural Networks for State Evaluation in General Game Playing

      • Daniel Michulke, Michael Thielscher
      Pages 95-110

    8. Learning to Disambiguate Search Queries from Short Sessions

      • Lilyana Mihalkova, Raymond Mooney
      Pages 111-127

    9. Dynamic Factor Graphs for Time Series Modeling

      • Piotr Mirowski, Yann LeCun
      Pages 128-143

    10. On Feature Selection, Bias-Variance, and Bagging

      • M. Arthur Munson, Rich Caruana
      Pages 144-159

    11. Efficient Pruning Schemes for Distance-Based Outlier Detection

      • Nguyen Hoang Vu, Vivekanand Gopalkrishnan
      Pages 160-175

    12. The Sensitivity of Latent Dirichlet Allocation for Information Retrieval

      • Laurence A. F. Park, Kotagiri Ramamohanarao
      Pages 176-188

    15. On Discriminative Parameter Learning of Bayesian Network Classifiers

      • Franz Pernkopf, Michael Wohlmayr
      Pages 221-237

    16. Mining Spatial Co-location Patterns with Dynamic Neighborhood Constraint

      • Feng Qian, Qinming He, Jiangfeng He
      Pages 238-253

    17. Classifier Chains for Multi-label Classification

      • Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
      Pages 254-269

    18. Dependency Tree Kernels for Relation Extraction from Natural Language Text

      • Frank Reichartz, Hannes Korte, Gerhard Paass
      Pages 270-285

    19. Statistical Relational Learning with Formal Ontologies

      • Achim Rettinger, Matthias Nickles, Volker Tresp
      Pages 286-301
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Other Volumes

  1. Machine Learning and Knowledge Discovery in Databases

  2. Machine Learning and Knowledge Discovery in Databases

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About this book

This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2009, held in Bled, Slovenia, in September 2009. The 106 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 422 paper submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.
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Keywords

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Editors and Affiliations

  • NICTA, Locked Bag 8001, Canberra, 2601, Australia and Helsinki Institute of IT, Finland

    Wray Buntine

  • Dept. of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia

    Marko Grobelnik, Dunja Mladenić

  • The Centre for Computational Statistics and Machine Learning Department of Computer Science, University College London, London, UK

    John Shawe-Taylor

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Bibliographic Information

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Access via your institution

Buy it now

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

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