An Efficient Learning Procedure for Deep Boltzmann Machines
Work
Year: 2012
Type: article
Abstract: We present a new learning algorithm for Boltzmann machines that contain many layers of hidden variables. Data-dependent statistics are estimated using a variational approximation that tends to focus o... more
Source: Neural Computation
Institution University of Toronto
Cites: 74
Cited by: 486
Related to: 10
FWCI: 24.1
Citation percentile (by year/subfield): 99.99
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Reduced inequalities
Open Access status: green