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cs.LG2019★ 5 cited
Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines
Giancarlo Fissore, Aurélien Decelle, Cyril Furtlehner +1
In a standard multi-output classification scenario, both features and labels of training data are partially observed. This challenging issue is widely witnessed due to sensor or da…
cs.LG2011★ 6 cited
The Role of Normalization in the Belief Propagation Algorithm
Victorin Martin, Jean-Marc Lasgouttes, Cyril Furtlehner
An important part of problems in statistical physics and computer science can be expressed as the computation of marginal probabilities over a Markov Random Field. The belief propa…