A computable theory for learning Bayesian networks based on MAP-MDL principles
A new supervised term ranking method for text categorization
Applying reinforcement learning in playing Robosoccer using the AIBO
Efficient piecewise linear classifiers and applications
A new hybrid method combining genetic algorithm and coordinate search method
Structure learning of Bayesian Networks using global optimization with applications in data classification
An application of high-dimensional statistics to predictive modeling of grade variability
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