Smooth relevance vector machine: a smoothness prior extension of the RVM
On the use of ROC analysis for the optimization of abstaining classifiers
Structured large margin machines: sensitive to data distributions
Discovering Significant Patterns
Invariant kernel functions for pattern analysis and machine learning
Predictive Modelling of Heterogeneous Sequence Collections by Topographic Ordering of Histories
PAV and the ROC convex hull
Annealing stochastic approximation Monte Carlo algorithm for neural network training
Active learning for logistic regression: an evaluation
A note on Platt’s probabilistic outputs for support vector machines