Tree-structured model diagnostics for linear regression
Matrix representations, linear transformations, and kernels for disambiguation in natural language
Effective short-term opponent exploitation in simplified poker
Incremental data-driven learning of a novelty detection model for one-class classification with application to high-dimensional noisy data
Semi-supervised graph clustering: a kernel approach
Convergence analysis of kernel Canonical Correlation Analysis: theory and practice
Discretization for naive-Bayes learning: managing discretization bias and variance
Latent grouping models for user preference prediction
Exact bootstrap k-nearest neighbor learners
Parallel ILP for distributed-memory architectures
Finding anomalous periodic time series
An algebraic characterization of the optimum of regularized kernel methods