Deterministic and Statistical Methods in Machine Learning 2004: Sheffield, UK

• Christopher M. Bishop, Ilkay Ulusoy:
  Object Recognition via Local Patch Labelling. 1-21
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• Samy Bengio, Hervé Bourlard:
  Multi Channel Sequence Processing. 22-36
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• Gavin C. Cawley, Nicola L. C. Talbot, Gareth J. Janacek, Michael Peck:
  Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis. 37-55
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• Neil D. Lawrence, John C. Platt, Michael I. Jordan:
  Extensions of the Informative Vector Machine. 56-87
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• Tom Shorrock, David MacKay, Chris Ball:
  Efficient Communication by Breathing. 88-97
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• Dharmesh M. Maniyar, Ian T. Nabney:
  Guiding Local Regression Using Visualisation. 98-109
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• Roderick Murray-Smith, Barak A. Pearlmutter:
  Transformations of Gaussian Process Priors. 110-123
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• Petra Kudová, Roman Neruda:
  Kernel Based Learning Methods: Regularization Networks and RBF Networks. 124-136
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• Jonathan Goldstein, John C. Platt, Christopher J. C. Burges:
  Redundant Bit Vectors for Quickly Searching High-Dimensional Regions. 137-158
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• Stephen Roberts, Rizwan Choudrey:
  Bayesian Independent Component Analysis with Prior Constraints: An Application in Biosignal Analysis. 159-179
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• Jeremy Rogers, Steve R. Gunn:
  Ensemble Algorithms for Feature Selection. 180-198
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• Peter Sollich:
  Can Gaussian Process Regression Be Made Robust Against Model Mismatch? 199-210
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• Peter Sollich, Christopher K. I. Williams:
  Understanding Gaussian Process Regression Using the Equivalent Kernel. 211-228
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• Yi Sun, Mark Robinson, Rod Adams, Paul Kaye, Alistair G. Rust, Neil Davey:
  Integrating Binding Site Predictions Using Non-linear Classification Methods. 229-241
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• Hongying Meng, John Shawe-Taylor, Sándor Szedmák, Jason D. R. Farquhar:
  Support Vector Machine to Synthesise Kernels. 242-255
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• Bram Vanschoenwinkel, Bernard Manderick:
  Appropriate Kernel Functions for Support Vector Machine Learning with Sequences of Symbolic Data. 256-280
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• Bo Wang, D. M. Titterington:
  Variational Bayes Estimation of Mixing Coefficients. 281-295
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• Joab Winkler:
  A Comparison of Condition Numbers for the Full Rank Least Squares Problem. 296-318
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• Yaoyong Li, Kalina Bontcheva, Hamish Cunningham:
  SVM Based Learning System for Information Extraction. 319-339
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