Object Recognition via Local Patch Labelling
Multi Channel Sequence Processing
Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis
Extensions of the Informative Vector Machine
Efficient Communication by Breathing
Guiding Local Regression Using Visualisation
Transformations of Gaussian Process Priors
Kernel Based Learning Methods：Regularization Networks and RBF Networks
Redundant Bit Vectors for Quickly Searching High—Dimensional Regions
Bayesian Independent Component Analysis with Prior Constraints：An
Application in Biosignal Analysis
Ensemble Algorithms for Feature Selection
Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
Understanding Gaussian Process Regression Using the Equivalent Kernel
Integrating Binding Site Predictions Using Non—linear Classification Methods
Support Vector Machine to Synthesise Kernels
Appropriate Kernel Functions for with Sequences of Symbolic Data
Support Vector Machine Learning
Variational Bayes Estimation of Mixing Coefficients
A Comparison of Condition Numbers for the Full Rank Least Squares Problem
SVM Based Learning System for Information Extraction
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