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Boltzmann Machines

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  • Ackley D, Hinton G, Sejnowski T (1985) A Learning algorithm for Boltzmann machines. Cognit Sci 9(1):147–169

    Article  Google Scholar 

  • Geman S, Geman D (1984) Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans Pattern Anal Mach Intell 6(6):721–741

    Article  MATH  Google Scholar 

  • Hopfield JJ (1982) Neural networks and physical systems with emergent collective computational abilities. Proc Natl Acad Sci U S A 79:2554–2558

    Article  MathSciNet  Google Scholar 

  • Hinton GE (2002) Training products of experts by minimizing contrastive divergence. Neural Comput 14(8):1711–1800

    Article  MATH  Google Scholar 

  • Hinton GE, Osindero S, Teh YW (2006) A fast learning algorithm for deep belief nets. Neural Comput 18:1527–1554

    Article  MathSciNet  MATH  Google Scholar 

  • Hinton GE, Salakhutdinov RR (2006) Reducing the dimensionality of data with neural networks. Science 313:504–507

    Article  MathSciNet  MATH  Google Scholar 

  • Hinton GE, Sejnowski TJ (1983) Optimal perceptual inference. In: Proceedings of the IEEE conference on computer vision and pattern recognition, Washington, DC, pp 448–453

    Google Scholar 

  • Jordan MI (1998) Learning in graphical models. MIT, Cambridge

    Book  Google Scholar 

  • Kirkpatrick S, Gelatt DD, Vecci MP (1983) Optimization by simulated annealing. Science 220(4598):671–680

    Article  MathSciNet  MATH  Google Scholar 

  • Lafferty J, McCallum A, Pereira F (2001) Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In: Proceedings of the 18th international conference on machine learning, Williamstown, pp 282–289. Morgan Kaufmann, San Francisco

    Google Scholar 

  • Peterson C, Anderson JR (1987) A mean field theory learning algorithm for neural networks. Complex Syst 1(5):995–1019

    MATH  Google Scholar 

  • Sejnowski TJ (1986) Higher-order Boltzmann machines. AIP Conf Proc 151(1):398–403

    Article  MathSciNet  Google Scholar 

  • Smolensky P (1986) Information processing in dynamical systems: foundations of harmony theory. In: Rumelhart DE, McClelland JL (eds) Parallel distributed processing. Foundations, vol 1. MIT, Cambridge, pp 194–281 Press.

    Google Scholar 

  • Welling M, Rosen-Zvi M, Hinton GE (2005) Exponential family harmoniums with an application to information retrieval. In: Lawrence K. Saul, Yair Weiss and Leon Bottou (eds) Advances in neural information processing systems, vol 17. MIT, Cambridge, pp 1481–1488

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Author information

Authors and Affiliations

  1. University of Toronto, Toronto, ON, Canada

    Geoffrey Hinton

Authors
  1. Geoffrey Hinton
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Correspondence to Geoffrey Hinton .

Editor information

Editors and Affiliations

  1. The University of New South Wales, Sydney, NSW, Australia

    Claude Sammut

  2. Faculty of Information Technology, Monash University, Melbourne, VIC, Australia

    Geoffrey I. Webb

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Hinton, G. (2017). Boltzmann Machines. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_31

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