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Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization.
Daan Fierens
Published in:
ICLP (Technical Communications) (2010)
Keyphrases
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gibbs sampling
probabilistic model
markov chain monte carlo
parameter estimation
bayesian networks
prior knowledge
belief networks
approximate inference
machine learning
feature space
least squares
text mining
graphical models
expectation maximization
generative model
conditional probability distributions