Convergence Properties of High-order Boltzmann Machines

Author:

Albizuri F.Xabier,d'Anjou Alicia,Graña Manuel,Lozano J.Antonio

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference12 articles.

1. Aarts, E.H.L., & Korst, J.H.M. (1989). Simulated annealing and Boltzmann Machines: a stochastic approach to combinatorial optimization and neural computing. New York: John Wiley.

2. A learning algorithm for Boltzmann machines;Ackley;Cognitive Science,1985

3. Albizuri, F.X. (1995). Máquina de Boltzmann de alto orden: una red neuronal con técnicas de Monte Carlo para modelado de distribuciones de probabilidad. Caracterización y estructura. PhD thesis, Department of Computer Science and AI, University of the Basque Country, Donostia, Spain.

4. The high-order Boltzmann machine: learned distribution and topology;Albizuri;IEEE Transactions on Neural Networks,1995

5. Fort, J.C., & Pagès, G. (1993). Réseaux de neurones: des méthodes connexionistes d'apprentissage. Technical report, Université Paris 1, SAMOS, Prépublication du SAMOS no. 24.

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3. Boltzmann Machines;Wiley Encyclopedia of Electrical and Electronics Engineering;1999-12-27

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