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  • Conference proceedings
  • © 2008

Machine Learning and Knowledge Discovery in Databases

European Conference, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I

Editors:

  1. Walter Daelemans
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  2. Bart Goethals
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  3. Katharina Morik
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5211)

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 2008.

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Table of contents (62 papers)

  1. Regular Papers

    1. TOPTMH: Topology Predictor for Transmembrane α-Helices

      • Rezwan Ahmed, Huzefa Rangwala, George Karypis
      Pages 23-38

    2. Learning to Predict One or More Ranks in Ordinal Regression Tasks

      • Jaime Alonso, Juan José del Coz, Jorge Díez, Oscar Luaces, Antonio Bahamonde
      Pages 39-54

    3. Cascade RSVM in Peer-to-Peer Networks

      • Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng
      Pages 55-70

    4. An Algorithm for Transfer Learning in a Heterogeneous Environment

      • Andreas Argyriou, Andreas Maurer, Massimiliano Pontil
      Pages 71-85

    5. Minimum-Size Bases of Association Rules

      • José L. Balcázar
      Pages 86-101

    6. Combining Classifiers through Triplet-Based Belief Functions

      • Yaxin Bi, Shengli Wu, Xuhui Shen, Pan Xiong
      Pages 102-116

    7. An Improved Multi-task Learning Approach with Applications in Medical Diagnosis

      • Jinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, R. Bharat Rao
      Pages 117-132

    8. Semi-supervised Laplacian Regularization of Kernel Canonical Correlation Analysis

      • Matthew B. Blaschko, Christoph H. Lampert, Arthur Gretton
      Pages 133-145

    9. Sequence Labelling SVMs Trained in One Pass

      • Antoine Bordes, Nicolas Usunier, Léon Bottou
      Pages 146-161

    10. Semi-supervised Classification from Discriminative Random Walks

      • Jérôme Callut, Kevin Françoisse, Marco Saerens, Pierre Dupont
      Pages 162-177

    11. Learning Bidirectional Similarity for Collaborative Filtering

      • Bin Cao, Jian-Tao Sun, Jianmin Wu, Qiang Yang, Zheng Chen
      Pages 178-194

    12. Bootstrapping Information Extraction from Semi-structured Web Pages

      • Andrew Carlson, Charles Schafer
      Pages 195-210

    13. Online Multiagent Learning against Memory Bounded Adversaries

      • Doran Chakraborty, Peter Stone
      Pages 211-226

    14. Scalable Feature Selection for Multi-class Problems

      • Boris Chidlovskii, Loïc Lecerf
      Pages 227-240

    15. Learning Decision Trees for Unbalanced Data

      • David A. Cieslak, Nitesh V. Chawla
      Pages 241-256

    17. A Fast Method for Training Linear SVM in the Primal

      • Trinh-Minh-Tri Do, Thierry Artières
      Pages 272-287

    18. On the Equivalence of the SMO and MDM Algorithms for SVM Training

      • Jorge López, Álvaro Barbero, José R. Dorronsoro
      Pages 288-300

    19. Nearest Neighbour Classification with Monotonicity Constraints

      • Wouter Duivesteijn, Ad Feelders
      Pages 301-316

    20. Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer

      • Eric Eaton, Marie desJardins, Terran Lane
      Pages 317-332
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Other Volumes

  1. Machine Learning and Knowledge Discovery in Databases

  2. Machine Learning and Knowledge Discovery in Databases

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About this book

This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.
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Buy it now

eBook USD 99.00
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  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

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