Computational challenges in nanoparticle partition function calculation.
Eric JankowskiPublished in: XSEDE (2012)
Keyphrases
- computational challenges
- partition function
- markov random field
- closed form
- approximate inference
- upper bound
- belief propagation
- random fields
- probability density function
- structured prediction
- upper and lower bounds
- parameter estimation
- importance sampling
- bayesian framework
- graphical models
- huge number
- lower bound
- maximum likelihood estimation
- structure learning
- special case
- conditional random fields
- loopy belief propagation
- bayesian networks
- learning algorithm
- image segmentation
- closed form solutions
- graph cuts
- message passing
- posterior probability
- monte carlo
- machine learning