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  • Conference proceedings
  • © 2014

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II

Editors:

  1. Toon Calders

    1. Faculty of Applied Sciences,Department of Computer and Decision Engineering, Université Libre de Bruxelles, Brussels, Belgium

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  2. Floriana Esposito

    1. Dipartimento di Informatica, Università degli Studi “Aldo Moro”, Bari, Italy

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  3. Eyke Hüllermeier

    1. Department of Computer Science, Universität Paderborn, Paderborn, Germany

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  4. Rosa Meo

    1. Dipartimento di Informatica, Università degli Studi di Torino, Torino, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8725)

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 2014.

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Table of contents (44 papers)

  1. Main Track Contributions

    1. Experimental Design in Dynamical System Identification: A Bandit-Based Active Learning Approach

      • Artémis Llamosi, Adel Mezine, Florence d’Alché-Buc, Véronique Letort, Michèle Sebag
      Pages 306-321

    2. On the Null Distribution of the Precision and Recall Curve

      • Miguel Lopes, Gianluca Bontempi
      Pages 322-337

    3. Linear State-Space Model with Time-Varying Dynamics

      • Jaakko Luttinen, Tapani Raiko, Alexander Ilin
      Pages 338-353

    4. An Online Policy Gradient Algorithm for Markov Decision Processes with Continuous States and Actions

      • Yao Ma, Tingting Zhao, Kohei Hatano, Masashi Sugiyama
      Pages 354-369

    5. GMRF Estimation under Topological and Spectral Constraints

      • Victorin Martin, Cyril Furtlehner, Yufei Han, Jean-Marc Lasgouttes
      Pages 370-385

    6. Rate-Constrained Ranking and the Rate-Weighted AUC

      • Louise A. C. Millard, Peter A. Flach, Julian P. T. Higgins
      Pages 386-403

    7. Rate-Oriented Point-Wise Confidence Bounds for ROC Curves

      • Louise A. C. Millard, Meelis Kull, Peter A. Flach
      Pages 404-421

    8. A Fast Method of Statistical Assessment for Combinatorial Hypotheses Based on Frequent Itemset Enumeration

      • Shin-ichi Minato, Takeaki Uno, Koji Tsuda, Aika Terada, Jun Sese
      Pages 422-436

    9. Large-Scale Multi-label Text Classification — Revisiting Neural Networks

      • Jinseok Nam, Jungi Kim, Eneldo Loza Mencía, Iryna Gurevych, Johannes Fürnkranz
      Pages 437-452

    10. Distinct Chains for Different Instances: An Effective Strategy for Multi-label Classifier Chains

      • Pablo Nascimento da Silva, Eduardo Corrêa Gonçalves, Alexandre Plastino, Alex A. Freitas
      Pages 453-468

    11. A Unified Framework for Probabilistic Component Analysis

      • Mihalis A. Nicolaou, Stefanos Zafeiriou, Maja Pantic
      Pages 469-484

    12. Flexible Shift-Invariant Locality and Globality Preserving Projections

      • Feiping Nie, Xiao Cai, Heng Huang
      Pages 485-500

    13. Interactive Knowledge-Based Kernel PCA

      • Dino Oglic, Daniel Paurat, Thomas Gärtner
      Pages 501-516

    14. A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction

      • Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman
      Pages 517-532

    16. Boosted Bellman Residual Minimization Handling Expert Demonstrations

      • Bilal Piot, Matthieu Geist, Olivier Pietquin
      Pages 549-564

    17. Semi-supervised Learning Using an Unsupervised Atlas

      • Nikolaos Pitelis, Chris Russell, Lourdes Agapito
      Pages 565-580

    19. Interestingness-Driven Diffusion Process Summarization in Dynamic Networks

      • Qiang Qu, Siyuan Liu, Christian S. Jensen, Feida Zhu, Christos Faloutsos
      Pages 597-613

    20. Neural Gaussian Conditional Random Fields

      • Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic
      Pages 614-629
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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 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.
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Keywords

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Editors and Affiliations

  • Faculty of Applied Sciences,Department of Computer and Decision Engineering, Université Libre de Bruxelles, Brussels, Belgium

    Toon Calders

  • Dipartimento di Informatica, Università degli Studi “Aldo Moro”, Bari, Italy

    Floriana Esposito

  • Department of Computer Science, Universität Paderborn, Paderborn, Germany

    Eyke Hüllermeier

  • Dipartimento di Informatica, Università degli Studi di Torino, Torino, Italy

    Rosa Meo

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Bibliographic Information

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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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