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  • Conference proceedings
  • © 2011

Machine Learning and Knowledge Discovery in Databases, Part III

European Conference, ECML PKDD 2010, Athens, Greece, September 5-9, 2011, Proceedings, Part III

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6913)

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 2011.

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  • ISBN: 978-3-642-23808-6
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Table of contents (50 papers)

  1. Front Matter

  2. Regular Papers

    1. Sparse Kernel-SARSA(λ) with an Eligibility Trace

      • Matthew Robards, Peter Sunehag, Scott Sanner, Bhaskara Marthi
      Pages 1-17Open Access
    2. Influence and Passivity in Social Media

      • Daniel M. Romero, Wojciech Galuba, Sitaram Asur, Bernardo A. Huberman
      Pages 18-33Open Access
    3. Preference Elicitation and Inverse Reinforcement Learning

      • Constantin A. Rothkopf, Christos Dimitrakakis
      Pages 34-48Open Access
    4. A Novel Framework for Locating Software Faults Using Latent Divergences

      • Shounak Roychowdhury, Sarfraz Khurshid
      Pages 49-64Open Access
    5. Transfer Learning with Adaptive Regularizers

      • Ulrich Rückert, Marius Kloft
      Pages 65-80Open Access
    6. Multimodal Nonlinear Filtering Using Gauss-Hermite Quadrature

      • Hannes P. Saal, Nicolas M. O. Heess, Sethu Vijayakumar
      Pages 81-96Open Access
    7. Active Supervised Domain Adaptation

      • Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian, Scott L. DuVall
      Pages 97-112Open Access
    8. Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation

      • François Schnitzler, Sourour Ammar, Philippe Leray, Pierre Geurts, Louis Wehenkel
      Pages 113-128Open Access
    9. Resource-Aware On-line RFID Localization Using Proximity Data

      • Christoph Scholz, Stephan Doerfel, Martin Atzmueller, Andreas Hotho, Gerd Stumme
      Pages 129-144Open Access
    10. On the Stratification of Multi-label Data

      • Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis Vlahavas
      Pages 145-158Open Access
    11. Learning First-Order Definite Theories via Object-Based Queries

      • Joseph Selman, Alan Fern
      Pages 159-174Open Access
    12. Fast Support Vector Machines for Structural Kernels

      • Aliaksei Severyn, Alessandro Moschitti
      Pages 175-190Open Access
    13. Compact Coding for Hyperplane Classifiers in Heterogeneous Environment

      • Hao Shao, Bin Tong, Einoshin Suzuki
      Pages 207-222Open Access
    14. Multi-label Ensemble Learning

      • Chuan Shi, Xiangnan Kong, Philip S. Yu, Bai Wang
      Pages 223-239Open Access
    15. Rule-Based Active Sampling for Learning to Rank

      • Rodrigo Silva, Marcos A. Gonçalves, Adriano Veloso
      Pages 240-255Open Access
    16. Parallel Structural Graph Clustering

      • Madeleine Seeland, Simon A. Berger, Alexandros Stamatakis, Stefan Kramer
      Pages 256-272Open Access
    17. Comparing Probabilistic Models for Melodic Sequences

      • Athina Spiliopoulou, Amos Storkey
      Pages 289-304Open Access

Other Volumes

  1. Machine Learning and Knowledge Discovery in Databases

    European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011. Proceedings, Part I
  2. Machine Learning and Knowledge Discovery in Databases

    European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part II
  3. Machine Learning and Knowledge Discovery in Databases

    European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part III

About this book

This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011. The 121 revised full papers presented together with 10 invited talks and 11 demos in the three volumes, were carefully reviewed and selected from about 600 paper submissions. The papers address all areas related to machine learning and knowledge discovery in databases as well as other innovative application domains such as supervised and unsupervised learning with some innovative contributions in fundamental issues; dimensionality reduction, distance and similarity learning, model learning and matrix/tensor analysis; graph mining, graphical models, hidden markov models, kernel methods, active and ensemble learning, semi-supervised and transductive learning, mining sparse representations, model learning, inductive logic programming, and statistical learning. a significant part of the papers covers novel and timely applications of data mining and machine learning in industrial domains.

Keywords

  • decision theory
  • high-dimensional clustering
  • natural language processing
  • recommender systems
  • self-organizing maps
  • algorithm analysis and problem complexity

Editors and Affiliations

  • Department of Informatics and Telecommunications, University of Athens, Athens, Greece

    Dimitrios Gunopulos

  • Google Switzerland GmbH, Zurich, Switzerland

    Thomas Hofmann

  • Department of Computer Science, University of Bari “Aldo Moro”, Bari, Italy

    Donato Malerba

  • Deptartment of Informatics, Athens University of Economics and Business, Athens, Greece

    Michalis Vazirgiannis

Bibliographic Information

Buying options

eBook USD 99.00
Price excludes VAT (USA)
  • ISBN: 978-3-642-23808-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 129.00
Price excludes VAT (USA)