Machine Learning
Game-playing and game-learning automata
In Fox, L. (Ed.), Advances in Programming and Non-Numerical Computation, pp. 183â200. Pergamon.
Statistical inference for probabilistic functions of finite state Markov chains
Annals of Mathematical Statistics, 41.
Optimal control of partially observable Markov systems
J. Franklin Institute, 280 (5), 367-86
Optimal control of Markov decision processes with incomplete state estimation
J. Math. Anal. Applic., 10, 174–205.
Maximum likelihood estimates of linear dynamic systems
Rauch, H. E., Tung, F., Striebel, C. T.
AIAA Journal, 3 (8), 1445-1450.
Learning Machines: Foundations of Trainable Pattern-Classifying Systems
Republished as The Mathematical Foundations of Learning Machines, San Francisco: Morgan Kaufmann Publishers, 1990McGraw-Hill. Republished in 1990.
Theoretical foundations of the potential function method in pattern recognition learning
Aizerman, M. | Braverman, E. | Rozonoer, L.
Automation and Remote Control, 25, 821–837
A formal theory of inductive inference
Information and Control, 7, 1â22, 224â254.
STeLLA: A Scheme for a Learning Machine
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