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]

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]

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]

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]

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]

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]