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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. Regular Papers

    1. Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm

      • Philippe Rolet, Michèle Sebag, Olivier Teytaud
      Pages 302-317

    4. Identifying the Original Contribution of a Document via Language Modeling

      • Benyah Shaparenko, Thorsten Joachims
      Pages 350-365

    5. Relaxed Transfer of Different Classes via Spectral Partition

      • Xiaoxiao Shi, Wei Fan, Qiang Yang, Jiangtao Ren
      Pages 366-381

    6. Mining Databases to Mine Queries Faster

      • Arno Siebes, Diyah Puspitaningrum
      Pages 382-397

    7. MACs: Multi-Attribute Co-clusters with High Correlation Information

      • Kelvin Sim, Vivekanand Gopalkrishnan, Hon Nian Chua, See-Kiong Ng
      Pages 398-413

    9. Latent Dirichlet Allocation for Automatic Document Categorization

      • István Bíró, Jácint Szabó
      Pages 430-441

    10. New Regularized Algorithms for Transductive Learning

      • Partha Pratim Talukdar, Koby Crammer
      Pages 442-457

    12. Optimal Online Learning Procedures for Model-Free Policy Evaluation

      • Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii
      Pages 473-488

    13. Kernels for Periodic Time Series Arising in Astronomy

      • Gabriel Wachman, Roni Khardon, Pavlos Protopapas, Charles R. Alcock
      Pages 489-505

    14. K-Subspace Clustering

      • Dingding Wang, Chris Ding, Tao Li
      Pages 506-521

    15. Latent Dirichlet Bayesian Co-Clustering

      • Pu Wang, Carlotta Domeniconi, Kathryn Blackmond Laskey
      Pages 522-537

    16. Variational Graph Embedding for Globally and Locally Consistent Feature Extraction

      • Shuang-Hong Yang, Hongyuan Zha, S. Kevin Zhou, Bao-Gang Hu
      Pages 538-553

    17. Protein Identification from Tandem Mass Spectra with Probabilistic Language Modeling

      • Yiming Yang, Abhay Harpale, Subramaniam Ganapathy
      Pages 554-569

    19. Subspace Regularization: A New Semi-supervised Learning Method

      • Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-Lin Liu
      Pages 586-601
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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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