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Machine Learning and Knowledge Discovery in Databases

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

  • Conference proceedings
  • © 2014

Overview

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 8724)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ECML PKDD 2014.

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Table of contents (44 papers)

  1. Front Matter

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  2. Main Track Contributions

    1. Classifying a Stream of Infinite Concepts: A Bayesian Non-parametric Approach

      • Seyyed Abbas Hosseini, Hamid R. Rabiee, Hassan Hafez, Ali Soltani-Farani
      Pages 1-16

    2. Fast Nearest Neighbor Search on Large Time-Evolving Graphs

      • Leman Akoglu, Rohit Khandekar, Vibhore Kumar, Srinivasan Parthasarathy, Deepak Rajan, Kun-Lung Wu
      Pages 17-33

    3. Deconstructing Kernel Machines

      • Mohsen Ali, Muhammad Rushdi, Jeffrey Ho
      Pages 34-49

    4. Beyond Blocks: Hyperbolic Community Detection

      • Miguel Araujo, Stephan Günnemann, Gonzalo Mateos, Christos Faloutsos
      Pages 50-65

    5. Concurrent Bandits and Cognitive Radio Networks

      • Orly Avner, Shie Mannor
      Pages 66-81

    6. Kernel Principal Geodesic Analysis

      • Suyash P. Awate, Yen-Yun Yu, Ross T. Whitaker
      Pages 82-98

    7. Attributed Graph Kernels Using the Jensen-Tsallis q-Differences

      • Lu Bai, Luca Rossi, Horst Bunke, Edwin R. Hancock
      Pages 99-114

    8. Sub-sampling for Multi-armed Bandits

      • Akram Baransi, Odalric-Ambrym Maillard, Shie Mannor
      Pages 115-131

    9. Knowledge-Powered Deep Learning for Word Embedding

      • Jiang Bian, Bin Gao, Tie-Yan Liu
      Pages 132-148

    10. Density-Based Subspace Clustering in Heterogeneous Networks

      • Brigitte Boden, Martin Ester, Thomas Seidl
      Pages 149-164

    11. Open Question Answering with Weakly Supervised Embedding Models

      • Antoine Bordes, Jason Weston, Nicolas Usunier
      Pages 165-180

    12. Towards Automatic Feature Construction for Supervised Classification

      • Marc Boullé
      Pages 181-196

    13. Consistency of Losses for Learning from Weak Labels

      • Jesús Cid-Sueiro, Darío García-García, Raúl Santos-Rodríguez
      Pages 197-210

    14. Active Learning for Support Vector Machines with Maximum Model Change

      • Wenbin Cai, Ya Zhang, Siyuan Zhou, Wenquan Wang, Chris Ding, Xiao Gu
      Pages 211-226

    15. Anomaly Detection with Score Functions Based on the Reconstruction Error of the Kernel PCA

      • Laetitia Chapel, Chloé Friguet
      Pages 227-241

    16. Fast Gaussian Pairwise Constrained Spectral Clustering

      • David Chatel, Pascal Denis, Marc Tommasi
      Pages 242-257

    17. A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships

      • Gianni Costa, Giuseppe Manco, Riccardo Ortale
      Pages 258-273

    18. Domain Adaptation with Regularized Optimal Transport

      • Nicolas Courty, Rémi Flamary, Devis Tuia
      Pages 274-289

    19. Discriminative Subnetworks with Regularized Spectral Learning for Global-State Network Data

      • Xuan Hong Dang, Ambuj K. Singh, Petko Bogdanov, Hongyuan You, Bayyuan Hsu
      Pages 290-306
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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

Keywords

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.

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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