Approximate Inference for Clusters in Solution Spaces.
Lukas KrocAshish SabharwalBart SelmanPublished in: Abstraction, Reformulation, and Approximation (2010)
Keyphrases
- approximate inference
- graphical models
- belief propagation
- exact inference
- probabilistic inference
- clustering algorithm
- gaussian process
- bayesian networks
- conditional random fields
- variational methods
- parameter estimation
- message passing
- expectation propagation
- factor graphs
- latent variables
- free energy
- loopy belief propagation
- belief networks
- closed form
- markov random field
- upper bound
- data points
- optimal solution
- three dimensional
- information retrieval
- machine learning