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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

Editors:

  1. Dimitrios Gunopulos

    1. Department of Informatics and Telecommunications, University of Athens, Athens, Greece

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  2. Thomas Hofmann

    1. Google Switzerland GmbH, Zurich, Switzerland

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  3. Donato Malerba

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

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  4. Michalis Vazirgiannis

    1. Deptartment of Informatics, Athens University of Economics and Business, Athens, Greece

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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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Table of contents (50 papers)

  1. Front Matter

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  2. Regular Papers

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

      • Matthew Robards, Peter Sunehag, Scott Sanner, Bhaskara Marthi
      Pages 1-17

    2. Influence and Passivity in Social Media

      • Daniel M. Romero, Wojciech Galuba, Sitaram Asur, Bernardo A. Huberman
      Pages 18-33

    3. Preference Elicitation and Inverse Reinforcement Learning

      • Constantin A. Rothkopf, Christos Dimitrakakis
      Pages 34-48

    4. A Novel Framework for Locating Software Faults Using Latent Divergences

      • Shounak Roychowdhury, Sarfraz Khurshid
      Pages 49-64

    5. Transfer Learning with Adaptive Regularizers

      • Ulrich Rückert, Marius Kloft
      Pages 65-80

    6. Multimodal Nonlinear Filtering Using Gauss-Hermite Quadrature

      • Hannes P. Saal, Nicolas M. O. Heess, Sethu Vijayakumar
      Pages 81-96

    7. Active Supervised Domain Adaptation

      • Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian, Scott L. DuVall
      Pages 97-112

    8. Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation

      • François Schnitzler, Sourour Ammar, Philippe Leray, Pierre Geurts, Louis Wehenkel
      Pages 113-128

    9. Resource-Aware On-line RFID Localization Using Proximity Data

      • Christoph Scholz, Stephan Doerfel, Martin Atzmueller, Andreas Hotho, Gerd Stumme
      Pages 129-144

    10. On the Stratification of Multi-label Data

      • Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis Vlahavas
      Pages 145-158

    12. Fast Support Vector Machines for Structural Kernels

      • Aliaksei Severyn, Alessandro Moschitti
      Pages 175-190

    14. Compact Coding for Hyperplane Classifiers in Heterogeneous Environment

      • Hao Shao, Bin Tong, Einoshin Suzuki
      Pages 207-222

    15. Multi-label Ensemble Learning

      • Chuan Shi, Xiangnan Kong, Philip S. Yu, Bai Wang
      Pages 223-239

    16. Rule-Based Active Sampling for Learning to Rank

      • Rodrigo Silva, Marcos A. Gonçalves, Adriano Veloso
      Pages 240-255

    17. Parallel Structural Graph Clustering

      • Madeleine Seeland, Simon A. Berger, Alexandros Stamatakis, Stefan Kramer
      Pages 256-272

    19. Comparing Probabilistic Models for Melodic Sequences

      • Athina Spiliopoulou, Amos Storkey
      Pages 289-304
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Other Volumes

  1. Machine Learning and Knowledge Discovery in Databases

  2. Machine Learning and Knowledge Discovery in Databases

  3. Machine Learning and Knowledge Discovery in Databases

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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.
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Keywords

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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

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Bibliographic Information

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Access via your institution

Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
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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