Skip to main content
SpringerLink
Log in
Book cover
  • Conference proceedings
  • © 2011

Machine Learning and Knowledge Discovery in Databases, Part II

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

Editors:

  1. Dimitrios Gunopulos

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Thomas Hofmann

    1. Google Switzerland GmbH, Zurich, Switzerland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Donato Malerba

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Michalis Vazirgiannis

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Fast-track conference proceedings
  • State-of-the-art research
  • Up-to-date results

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6912)

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.

Sections

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

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (42 papers)

  1. Regular Papers

    1. Focused Multi-task Learning Using Gaussian Processes

      • Gayle Leen, Jaakko Peltonen, Samuel Kaski
      Pages 310-325

    2. Reinforcement Learning through Global Stochastic Search in N-MDPs

      • Matteo Leonetti, Luca Iocchi, Subramanian Ramamoorthy
      Pages 326-340

    3. Analyzing Word Frequencies in Large Text Corpora Using Inter-arrival Times and Bootstrapping

      • Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki, Heikki Mannila
      Pages 341-357

    4. Discovering Temporal Bisociations for Linking Concepts over Time

      • Corrado Loglisci, Michelangelo Ceci
      Pages 358-373

    5. Minimum Neighbor Distance Estimators of Intrinsic Dimension

      • Gabriele Lombardi, Alessandro Rozza, Claudio Ceruti, Elena Casiraghi, Paola Campadelli
      Pages 374-389

    6. Graph Evolution via Social Diffusion Processes

      • Dijun Luo, Chris Ding, Heng Huang
      Pages 390-404

    7. Multi-Subspace Representation and Discovery

      • Dijun Luo, Feiping Nie, Chris Ding, Heng Huang
      Pages 405-420

    8. A Novel Stability Based Feature Selection Framework for k-means Clustering

      • Dimitrios Mavroeidis, Elena Marchiori
      Pages 421-436

    9. Link Prediction via Matrix Factorization

      • Aditya Krishna Menon, Charles Elkan
      Pages 437-452

    10. On Oblique Random Forests

      • Bjoern H. Menze, B. Michael Kelm, Daniel N. Splitthoff, Ullrich Koethe, Fred A. Hamprecht
      Pages 453-469

    11. An Alternating Direction Method for Dual MAP LP Relaxation

      • Ofer Meshi, Amir Globerson
      Pages 470-483

    12. Aggregating Independent and Dependent Models to Learn Multi-label Classifiers

      • Elena Montañés, José Ramón Quevedo, Juan José del Coz
      Pages 484-500

    13. Tensor Factorization Using Auxiliary Information

      • Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima
      Pages 501-516

    14. Kernels for Link Prediction with Latent Feature Models

      • Canh Hao Nguyen, Hiroshi Mamitsuka
      Pages 517-532

    15. Frequency-Aware Truncated Methods for Sparse Online Learning

      • Hidekazu Oiwa, Shin Matsushima, Hiroshi Nakagawa
      Pages 533-548

    16. A Shapley Value Approach for Influence Attribution

      • Panagiotis Papapetrou, Aristides Gionis, Heikki Mannila
      Pages 549-564

    18. Ancestor Relations in the Presence of Unobserved Variables

      • Pekka Parviainen, Mikko Koivisto
      Pages 581-596

    19. ShareBoost: Boosting for Multi-view Learning with Performance Guarantees

      • Jing Peng, Costin Barbu, Guna Seetharaman, Wei Fan, Xian Wu, Kannappan Palaniappan
      Pages 597-612
Back to top

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

Back to top

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.
Back to top

Keywords

Back to top

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

Back to top

Bibliographic Information

Back to top

Publish with us

Policies and ethics

Back to top
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

Search

Navigation