Efficient Construction of Regression Trees with Range and Region Splitting
Using Iterated Bagging to Debias Regressions
Accelerating EM for Large Databases
Relative Loss Bounds for Multidimensional Regression Problems
Learning with Maximum-Entropy Distributions
Robust Learning with Missing Data
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems
Predicting the Future of Discrete Sequences from Fractal Representations of the Past
Reinterpreting the Category Utility Function
Random Forests
On the VC Dimension of Bounded Margin Classifiers
Iterated Phantom Induction: A Knowledge-Based Approach to Learning Control
Optimizing Epochal Evolutionary Search: Population-Size Dependent Theory