Variational Boosting: Iteratively Refining Posterior Approximations.
Andrew C. MillerNicholas J. FotiRyan P. AdamsPublished in: CoRR (2016)
Keyphrases
- free energy
- posterior distribution
- variational methods
- image segmentation
- variational approximation
- optical flow
- probability distribution
- bayesian framework
- ensemble learning
- closed form
- weak learners
- feature selection
- hyperparameters
- latent variables
- probabilistic model
- ensemble methods
- posterior probability
- markov chain monte carlo
- learning algorithm
- methods in computer vision
- weak hypotheses
- boosting algorithms
- variance reduction
- base classifiers
- cost sensitive
- bayesian learning
- variational framework
- support vector
- approximation methods