Conditional Restricted Boltzmann Machines for Structured Output Prediction

UAI, pp. 514-522, 2011.

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Abstract:

Conditional Restricted Boltzmann Machines (CRBMs) are rich probabilistic models that have recently been applied to a wide range of problems, including collaborative filtering, classification, and modeling motion capture data. While much progress has been made in training non-conditional RBMs, these algorithms are not applicable to condi...More

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