Machine-learning research: Four current directions

AI Magazine

Volumn 18, Issue 4, 1997, Pages 97-136

  Dietterich, Thomas G ^a  

^a OREGON STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; MATHEMATICAL MODELS; PATTERN RECOGNITION; RANDOM PROCESSES;

CLASSIFICATION ACCURACY; REINFORCEMENT LEARNING;

LEARNING SYSTEMS;

EID: 0031361611     PISSN: 07384602     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (5)

1. Abu-Mostafa, Y. 1990. Learning from Hints in Neural Networks. Journal of Complexity 6:192-198.
2. Barto, A. G., and Sutton, R. 1997. Introduction to Reinforcement Learning. Cambridge, Mass.: MIT Press.
3. Caruana, R. 1996. Algorithms and Applications for Multitask Learning. In Proceedings of the Thirteenth International Conference on Machine Learning, ed. L. Saitta, 87-95. San Francisco, Calif.: Morgan Kaufmann.
4. D'Ambrosio, B. 1993. Incremental Probabilistic Inference. In Ninth Annual Conference on Uncertainty on AI, eds. D. Heckerman and A. Mamdani, 301-308. San Francisco, Calif.: Morgan Kaufmann.
5. Jensen, F. 1996. An Introduction to Bayesian Nehvorks. New York: Springer.