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houhou 10-10-2012
houhou - Pennsylvania State University (PA)
Boltzmann machine in its simplest form, a discrete time Hopfield network that em-ploys stochastic neurons and simulated an-nealing in its procedure for updating output values. More generally it can have hidden units and be subjected to supervised training so as to learn probabilities of different out-puts for each class of inputs.
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anarghya 01-11-2012
anarghya - Bacone College (OK)
the Boltzmann machine is shown a set of binary data vectors and it must learn to generate these vectors with high probability.
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