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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

  • Toon Calders
  • Floriana Esposito
  • Eyke Hüllermeier
  • Rosa Meo
Conference proceedings ECML PKDD 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8724)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8724)

Table of contents

  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
    20. Infinitely Many-Armed Bandits with Unknown Value Distribution
      Yahel David, Nahum Shimkin
      Pages 307-322
    21. Cautious Ordinal Classification by Binary Decomposition
      Sébastien Destercke, Gen Yang
      Pages 323-337
    22. Error-Bounded Approximations for Infinite-Horizon Discounted Decentralized POMDPs
      Jilles S. Dibangoye, Olivier Buffet, François Charpillet
      Pages 338-353
    23. Approximate Consistency: Towards Foundations of Approximate Kernel Selection
      Lizhong Ding, Shizhong Liao
      Pages 354-369
    24. Nowcasting with Numerous Candidate Predictors
      Brendan Duncan, Charles Elkan
      Pages 370-385
    25. Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries
      Flavio Figueiredo, Jussara M. Almeida, Yasuko Matsubara, Bruno Ribeiro, Christos Faloutsos
      Pages 386-401
    26. FASOLE: Fast Algorithm for Structured Output LEarning
      Vojtech Franc
      Pages 402-417
    27. Neutralized Empirical Risk Minimization with Generalization Neutrality Bound
      Kazuto Fukuchi, Jun Sakuma
      Pages 418-433
    28. Effective Blending of Two and Three-way Interactions for Modeling Multi-relational Data
      Alberto García-Durán, Antoine Bordes, Nicolas Usunier
      Pages 434-449
    29. Automatic Design of Neuromarkers for OCD Characterization
      Oscar García Hinde, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Carles Soriano-Mas
      Pages 450-465
    30. Importance Weighted Inductive Transfer Learning for Regression
      Jochen Garcke, Thomas Vanck
      Pages 466-481
    31. Policy Search for Path Integral Control
      Vicenç Gómez, Hilbert J. Kappen, Jan Peters, Gerhard Neumann
      Pages 482-497
    32. How Many Topics? Stability Analysis for Topic Models
      Derek Greene, Derek O’Callaghan, Pádraig Cunningham
      Pages 498-513
    33. Joint Prediction of Topics in a URL Hierarchy
      Michael Großhans, Christoph Sawade, Tobias Scheffer, Niels Landwehr
      Pages 514-529
    34. Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks
      Caglar Gulcehre, Kyunghyun Cho, Razvan Pascanu, Yoshua Bengio
      Pages 530-546
    35. Combination of One-Class Support Vector Machines for Classification with Reject Option
      Blaise Hanczar, Michèle Sebag
      Pages 547-562
    36. Relative Comparison Kernel Learning with Auxiliary Kernels
      Eric Heim, Hamed Valizadegan, Milos Hauskrecht
      Pages 563-578
    37. Transductive Minimax Probability Machine
      Gao Huang, Shiji Song, Zhixiang (Eddie) Xu, Kilian Weinberger
      Pages 579-594
    38. Covariate-Correlated Lasso for Feature Selection
      Bo Jiang, Chris Ding, Bin Luo
      Pages 595-606
    39. Random Forests with Random Projections of the Output Space for High Dimensional Multi-label Classification
      Arnaud Joly, Pierre Geurts, Louis Wehenkel
      Pages 607-622
    40. Communication-Efficient Distributed Online Prediction by Dynamic Model Synchronization
      Michael Kamp, Mario Boley, Daniel Keren, Assaf Schuster, Izchak Sharfman
      Pages 623-639
    41. Hetero-Labeled LDA: A Partially Supervised Topic Model with Heterogeneous Labels
      Dongyeop Kang, Youngja Park, Suresh N. Chari
      Pages 640-655
    42. Bayesian Multi-view Tensor Factorization
      Suleiman A Khan, Samuel Kaski
      Pages 656-671
    43. Conditional Log-linear Models for Mobile Application Usage Prediction
      Jingu Kim, Taneli Mielikäinen
      Pages 672-687
    44. Pushing-Down Tensor Decompositions over Unions to Promote Reuse of Materialized Decompositions
      Mijung Kim, K. Selçuk Candan
      Pages 688-704
  3. Back Matter
    PDF

Other volumes

  1. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I
  2. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II
  3. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III

About these proceedings

Introduction

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.

Keywords

artificial intelligence association rules clustering collaborative filtering content ranking data analytics data mining data stream mining knowledge discovery knowledge extraction knowledge representation and reasoning learning paradigms machine learning algorithms multitask learning nearest-neighbor search reinforcement learning social recommendation supervised learning unsupervised learning web mining

Editors and affiliations

  • Toon Calders
    • 1
  • Floriana Esposito
    • 2
  • Eyke Hüllermeier
    • 3
  • Rosa Meo
    • 4
  1. 1.Faculty of Applied Sciences, Department of Computer and Decision EngineeringUniversité Libre de BruxellesBrusselsBelgium
  2. 2.Dipartimento di InformaticaUniversità degli Studi “Aldo Moro”BariItaly
  3. 3.Department of Computer ScienceUniversität PaderbornPaderbornGermany
  4. 4.Dipartimento di InformaticaUniversità degli Studi di TorinoTorinoItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-44848-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-662-44847-2
  • Online ISBN 978-3-662-44848-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site