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Category: Probabilistic Graphical Models

2016

Gibbs Sampling

Jul 09 2016

posted in probabilistic graphical models

Metropolis Hasting

Jul 07 2016

posted in probabilistic graphical models

Variational Inference

Jun 20 2016

posted in probabilistic graphical models

Categories

functional programming (3)
information retrieval (2)
information theory (1)
machine learning (9)
natural language processing (27)
neural networks (14)
nltk (6)
optimization methods (5)
probabilistic graphical models (3)
python programming (9)
r programming (1)
ruby programming (2)
semantics (7)
text mining (3)
torch (6)
xpath (1)

Recent Posts

Torch NN Tutorial 6 : Backward Propagation ( Part 3 : nn.Module )
Torch NN Tutorial 5 : Backward Propagation ( Part 2 : nn.Criterion )
Torch NN Tutorial 4: Backward Propagation ( Part 1 : Overview & Linear Regression )
Torch NN Tutorial 3 : NN.Criterion & NN.MSECriterion
Torch NN Tutorial 2 : NN.Container & NN.Sequential

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