MACHINE-LEARNING RESEARCH - 4 CURRENT DIRECTIONS

Machine-learning research has been making great progress in many direc tions. This article summarizes four of these directions and discusses some current open problems. The four directions are (1) the improvemen t of classification accuracy by learning ensembles of classifiers, (2) methods for scaling up supervised learning algorithms, (3) reinforcem ent learning, and (4) the learning of complex stochastic models.