Learning from Cluster Examples
Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers
The Robustness of the p-Norm Algorithms
A Microchoice Bound for Continuous-Space Classification Algorithms
Theoretical and Empirical Analysis of ReliefF and RReliefF
Online Ensemble Learning: An Empirical Study
Programming by Demonstration Using Version Space Algebra
Improved Rooftop Detection in Aerial Images with Machine Learning