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  • Conference proceedings
  • © 2007

Machine Learning: ECML 2007

18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007, Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4701)

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

Conference series link(s): ECML: European Conference on Machine Learning

Conference proceedings info: ECML 2007.

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Table of contents (82 papers)

  1. Front Matter

  2. Long Papers

    1. Statistical Debugging Using Latent Topic Models

      • David Andrzejewski, Anne Mulhern, Ben Liblit, Xiaojin Zhu
      Pages 6-17
    2. Learning Balls of Strings with Correction Queries

      • Leonor Becerra Bonache, Colin de la Higuera, Jean-Christophe Janodet, Frédéric Tantini
      Pages 18-29
    3. Neighborhood-Based Local Sensitivity

      • Paul N. Bennett
      Pages 30-41
    4. Approximating Gaussian Processes with \({\cal H}^2\)-Matrices

      • Steffen Börm, Jochen Garcke
      Pages 42-53
    5. Learning Metrics Between Tree Structured Data: Application to Image Recognition

      • Laurent Boyer, Amaury Habrard, Marc Sebban
      Pages 54-66
    6. Shrinkage Estimator for Bayesian Network Parameters

      • John Burge, Terran Lane
      Pages 67-78
    7. Learning Partially Observable Markov Models from First Passage Times

      • Jérôme Callut, Pierre Dupont
      Pages 91-103
    8. Dual Strategy Active Learning

      • Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett
      Pages 116-127
    9. Decision Tree Instability and Active Learning

      • Kenneth Dwyer, Robert Holte
      Pages 128-139
    10. The Cost of Learning Directed Cuts

      • Thomas Gärtner, Gemma C. Garriga
      Pages 152-163
    11. Spectral Clustering and Embedding with Hidden Markov Models

      • Tony Jebara, Yingbo Song, Kapil Thadani
      Pages 164-175
    12. Probabilistic Explanation Based Learning

      • Angelika Kimmig, Luc De Raedt, Hannu Toivonen
      Pages 176-187

Other Volumes

  1. Machine Learning: ECML 2007

About this book

The two premier annual European conferences in the areas of machine learning and data mining have been collocated ever since the ?rst joint conference in Freiburg, 2001. The European Conference on Machine Learning (ECML) traces its origins to 1986, when the ?rst European Working Session on Learning was held in Orsay, France. The European Conference on Principles and Practice of KnowledgeDiscoveryinDatabases(PKDD) was?rstheldin1997inTrondheim, Norway. Over the years, the ECML/PKDD series has evolved into one of the largest and most selective international conferences in machine learning and data mining. In 2007, the seventh collocated ECML/PKDD took place during September 17–21 on the centralcampus of WarsawUniversityand in the nearby Staszic Palace of the Polish Academy of Sciences. The conference for the third time used a hierarchical reviewing process. We nominated 30 Area Chairs, each of them responsible for one sub-?eld or several closely related research topics. Suitable areas were selected on the basis of the submission statistics for ECML/PKDD 2006 and for last year’s International Conference on Machine Learning (ICML 2006) to ensure a proper load balance amongtheAreaChairs.AjointProgramCommittee(PC)wasnominatedforthe two conferences, consisting of some 300 renowned researchers, mostly proposed by the Area Chairs. This joint PC, the largest of the series to date, allowed us to exploit synergies and deal competently with topic overlaps between ECML and PKDD. ECML/PKDD 2007 received 592 abstract submissions. As in previous years, toassistthereviewersandtheAreaChairsintheir?nalrecommendationauthors had the opportunity to communicate their feedback after the reviewing phase.

Keywords

  • active learning
  • algorithmic learning
  • algorithms
  • classifier systems
  • cognition
  • genetic programming
  • inductive inference
  • kernel methods
  • knowledge discovery
  • machine learning
  • multiple-instance learning
  • optimization
  • programming
  • reinforcement learning
  • uncertainty
  • algorithm analysis and problem complexity

Bibliographic Information

  • Book Title: Machine Learning: ECML 2007

  • Book Subtitle: 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007, Proceedings

  • Editors: Joost N. Kok, Jacek Koronacki, Raomon Lopez de Mantaras, Stan Matwin, Dunja Mladenič, Andrzej Skowron

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-540-74958-5

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2007

  • Softcover ISBN: 978-3-540-74957-8Published: 05 September 2007

  • eBook ISBN: 978-3-540-74958-5Published: 08 September 2007

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXIV, 812

  • Topics: Artificial Intelligence, Algorithms, Formal Languages and Automata Theory, Database Management

Buying options

eBook USD 84.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions