Machine-Learning Research

Authors

  • Thomas G. Dietterich

DOI:

https://doi.org/10.1609/aimag.v18i4.1324

Abstract

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

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Published

1997-12-15

How to Cite

Dietterich, T. G. (1997). Machine-Learning Research. AI Magazine, 18(4), 97. https://doi.org/10.1609/aimag.v18i4.1324

Issue

Section

Articles