Heuristics as a special case of Bayesian Inference.
Paula ParpartMatt JonesBradley C. LovePublished in: CogSci (2014)
Keyphrases
- bayesian inference
- special case
- probabilistic model
- prior information
- variational inference
- hyperparameters
- statistical inference
- variational bayes
- gibbs sampler
- expectation propagation
- computational complexity
- np hard
- particle filter
- approximation algorithms
- weighted model counting
- bayesian model
- search algorithm
- hidden variables
- hierarchical bayesian
- data sets
- markov chain monte carlo
- probabilistic modeling
- graphical models
- feature selection