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Stochastic logic programs: Sampling, inference and applications
James Cussens
Department of Computer Science
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Computer Science
Programs
100%
Application
25%
Statistics
25%
Posterior Distribution
25%
Markov Chain
25%
Importance Sampling
25%
Variable Elimination
25%
Explicit Representation
25%
Prior Distribution
25%
Mathematics
Inference
50%
Algorithm
25%
Approximates
25%
Samples
25%
Markov Chain
25%
Posterior Distribution
25%
Prior Distribution
25%
Metropolis-Hasting Algorithm
25%
Importance Sampling
25%
Net Structure
25%
Earth and Planetary Sciences
Inference
50%
Utilization
25%
Algorithms
25%
Show
25%
Sampling
25%
Sample
25%
Machine Learning
25%
Physics
Utilization
25%
Work
25%
Algorithms
25%
Sampling
25%
Machine Learning
25%
Economics, Econometrics and Finance
Labour
25%
Machine Learning
25%
Markov Chain
25%