Conferences in DBLP

Deterministic and Statistical Methods in Machine Learning (dsmml)
2004 (conf/dsmml/2004)

1. Christopher M. Bishop, Ilkay Ulusoy
   Object Recognition via Local Patch Labelling. [Citation Graph (0, 0)][DBLP]
   Deterministic and Statistical Methods in Machine Learning, 2004, pp:1-21 [Conf]
   
2. Samy Bengio, Hervé Bourlard
   Multi Channel Sequence Processing. [Citation Graph (0, 0)][DBLP]
   Deterministic and Statistical Methods in Machine Learning, 2004, pp:22-36 [Conf]
   
3. Gavin C. Cawley, Nicola L. C. Talbot, Gareth J. Janacek, Michael Peck
   Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis. [Citation Graph (0, 0)][DBLP]
   Deterministic and Statistical Methods in Machine Learning, 2004, pp:37-55 [Conf]
   
4. Neil D. Lawrence, John C. Platt, Michael I. Jordan
   Extensions of the Informative Vector Machine. [Citation Graph (0, 0)][DBLP]
   Deterministic and Statistical Methods in Machine Learning, 2004, pp:56-87 [Conf]
   
5. Tom Shorrock, David MacKay, Chris Ball
   Efficient Communication by Breathing. [Citation Graph (0, 0)][DBLP]
   Deterministic and Statistical Methods in Machine Learning, 2004, pp:88-97 [Conf]
   
6. Dharmesh M. Maniyar, Ian T. Nabney
   Guiding Local Regression Using Visualisation. [Citation Graph (0, 0)][DBLP]
   Deterministic and Statistical Methods in Machine Learning, 2004, pp:98-109 [Conf]
   
7. Roderick Murray-Smith, Barak A. Pearlmutter
   Transformations of Gaussian Process Priors. [Citation Graph (0, 0)][DBLP]
   Deterministic and Statistical Methods in Machine Learning, 2004, pp:110-123 [Conf]
   
8. Petra Kudová, Roman Neruda
   Kernel Based Learning Methods: Regularization Networks and RBF Networks. [Citation Graph (0, 0)][DBLP]
   Deterministic and Statistical Methods in Machine Learning, 2004, pp:124-136 [Conf]
   
9. Jonathan Goldstein, John C. Platt, Christopher J. C. Burges
   Redundant Bit Vectors for Quickly Searching High-Dimensional Regions. [Citation Graph (0, 0)][DBLP]
   Deterministic and Statistical Methods in Machine Learning, 2004, pp:137-158 [Conf]
   
10. Stephen Roberts, Rizwan Choudrey
    Bayesian Independent Component Analysis with Prior Constraints: An Application in Biosignal Analysis. [Citation Graph (0, 0)][DBLP]
    Deterministic and Statistical Methods in Machine Learning, 2004, pp:159-179 [Conf]
    
11. Jeremy Rogers, Steve R. Gunn
    Ensemble Algorithms for Feature Selection. [Citation Graph (0, 0)][DBLP]
    Deterministic and Statistical Methods in Machine Learning, 2004, pp:180-198 [Conf]
    
12. Peter Sollich
    Can Gaussian Process Regression Be Made Robust Against Model Mismatch? [Citation Graph (0, 0)][DBLP]
    Deterministic and Statistical Methods in Machine Learning, 2004, pp:199-210 [Conf]
    
13. Peter Sollich, Christopher K. I. Williams
    Understanding Gaussian Process Regression Using the Equivalent Kernel. [Citation Graph (0, 0)][DBLP]
    Deterministic and Statistical Methods in Machine Learning, 2004, pp:211-228 [Conf]
    
14. Yi Sun, Mark Robinson, Rod Adams, Paul Kaye, Alistair G. Rust, Neil Davey
    Integrating Binding Site Predictions Using Non-linear Classification Methods. [Citation Graph (0, 0)][DBLP]
    Deterministic and Statistical Methods in Machine Learning, 2004, pp:229-241 [Conf]
    
15. Hongying Meng, John Shawe-Taylor, Sándor Szedmák, Jason D. R. Farquhar
    Support Vector Machine to Synthesise Kernels. [Citation Graph (0, 0)][DBLP]
    Deterministic and Statistical Methods in Machine Learning, 2004, pp:242-255 [Conf]
    
16. Bram Vanschoenwinkel, Bernard Manderick
    Appropriate Kernel Functions for Support Vector Machine Learning with Sequences of Symbolic Data. [Citation Graph (0, 0)][DBLP]
    Deterministic and Statistical Methods in Machine Learning, 2004, pp:256-280 [Conf]
    
17. Bo Wang, D. M. Titterington
    Variational Bayes Estimation of Mixing Coefficients. [Citation Graph (0, 0)][DBLP]
    Deterministic and Statistical Methods in Machine Learning, 2004, pp:281-295 [Conf]
    
18. Joab Winkler
    A Comparison of Condition Numbers for the Full Rank Least Squares Problem. [Citation Graph (0, 0)][DBLP]
    Deterministic and Statistical Methods in Machine Learning, 2004, pp:296-318 [Conf]
    
19. Yaoyong Li, Kalina Bontcheva, Hamish Cunningham
    SVM Based Learning System for Information Extraction. [Citation Graph (0, 0)][DBLP]
    Deterministic and Statistical Methods in Machine Learning, 2004, pp:319-339 [Conf]