Deterministic and Statistical Methods in Machine Learning

First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures

  • Joab Winkler
  • Mahesan Niranjan
  • Neil Lawrence
Conference proceedings DSMML 2004

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3635)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3635)

Table of contents

  1. Front Matter
  2. Christopher M. Bishop, Ilkay Ulusoy
    Pages 1-21
  3. Samy Bengio, Hervé Bourlard
    Pages 22-36
  4. Gavin C. Cawley, Nicola L. C. Talbot, Gareth J. Janacek, Michael W. Peck
    Pages 37-55
  5. Neil D. Lawrence, John C. Platt, Michael I. Jordan
    Pages 56-87
  6. Tom H. Shorrock, David J. C. MacKay, Chris J. Ball
    Pages 88-97
  7. Dharmesh M. Maniyar, Ian T. Nabney
    Pages 98-109
  8. Roderick Murray-Smith, Barak A. Pearlmutter
    Pages 110-123
  9. Jonathan Goldstein, John C. Plat, Christopher J. C. Burges
    Pages 137-158
  10. Jeremy D. Rogers, Steve R. Gunn
    Pages 180-198
  11. Peter Sollich, Christopher K. I. Williams
    Pages 211-228
  12. Yi Sun, Mark Robinson, Rod Adams, Paul Kaye, Alistair Rust, Neil Davey
    Pages 229-241
  13. Hongying Meng, John Shawe-Taylor, Sandor Szedmak, Jason D. R. Farquhar
    Pages 242-255
  14. Bo Wang, D. M. Titterington
    Pages 281-295
  15. Yaoyong Li, Kalina Bontcheva, Hamish Cunningham
    Pages 319-339
  16. Back Matter

About these proceedings


Support Vector Machine algorithmic learning algorithms artificial neural networks bayesian models classification cognition communication computer vision data visualisation information extraction learning machine learning object recognition visualization

Editors and affiliations

  • Joab Winkler
    • 1
  • Mahesan Niranjan
    • 2
  • Neil Lawrence
    • 3
  1. 1.Department of Computer ScienceThe University of SheffieldSheffieldUK
  2. 2.Department of Computer ScienceThe University of SheffieldSheffieldUK
  3. 3.University of ManchesterUK

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