Stochastic Maximum Likelihood
GPTKB entity
Statements (17)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
|
| gptkbp:alsoKnownAs |
gptkb:Persistent_Contrastive_Divergence
|
| gptkbp:application |
training Restricted Boltzmann Machines
training energy-based models |
| https://www.w3.org/2000/01/rdf-schema#label |
Stochastic Maximum Likelihood
|
| gptkbp:key |
approximate likelihood gradients
maintain persistent Markov chains during learning |
| gptkbp:proposedBy |
gptkb:Yann_LeCun
|
| gptkbp:publishedIn |
Efficient Learning of Energy-Based Models (LeCun et al., 2001)
|
| gptkbp:relatedTo |
gptkb:Markov_Chain_Monte_Carlo
gptkb:Contrastive_Divergence |
| gptkbp:usedIn |
gptkb:machine_learning
energy-based models statistical inference |
| gptkbp:yearProposed |
2001
|
| gptkbp:bfsParent |
gptkb:Deep_Boltzmann_Machines
|
| gptkbp:bfsLayer |
8
|