Learning Predictive Interactions Using Information Gain and Bayesian Network Scoring.

Abstract excerpt

BACKGROUND: The problems of correlation and classification are long-standing in the fields of statistics and machine learning, and techniques have been developed to address these problems. We are now in the era of high-dimensional data, which is data that can concern billions of variables. These data present new challenges. In particular, it is difficult to discover predictive variables, when each variable has...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Bayes Theorem
• Share to Computational Biology