A Learning Algorithm for Boltzmann Machines
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[1] C. V. D. Malsburg,et al. Frank Rosenblatt: Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms , 1986 .
[2] K. Binder. Applications of the Monte Carlo Method in Statistical Physics , 2012 .
[3] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Allen Newell,et al. Intellectual issues in the history of artificial intelligence , 1983 .
[5] Geoffrey E. Hinton,et al. Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines , 1983, AAAI.
[6] Paul Smolensky,et al. Schema Selection and Stochastic Inference in Modular Environments , 1983, AAAI.
[7] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[8] Geoffrey E. Hinton,et al. OPTIMAL PERCEPTUAL INFERENCE , 1983 .
[9] David H. Ackley,et al. The QBKG System: Generating Explanations From a Non-Discrete Knowledge Representation , 1982, AAAI.
[10] Jerome A. Feldman,et al. Connectionist Models and Their Properties , 1982, Cogn. Sci..
[11] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.
[12] Scott E. Fahlman,et al. The hashnet interconnection scheme , 1980 .
[13] Roger Ratcliff,et al. A Theory of Memory Retrieval. , 1978 .
[14] Geoffrey E. Hinton. Relaxation and its role in vision , 1977 .
[15] David L. Waltz,et al. Understanding Line drawings of Scenes with Shadows , 1975 .
[16] Allen Newell,et al. Human Problem Solving. , 1973 .
[17] Frank Rosenblatt,et al. PRINCIPLES OF NEURODYNAMICS. PERCEPTRONS AND THE THEORY OF BRAIN MECHANISMS , 1963 .
[18] S. Kullback. Information Theory and Statistics , 1959 .
[19] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.