Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions.
Tamir HazanSubhransu MajiJoseph KeshetTommi S. JaakkolaPublished in: NIPS (2013)
Keyphrases
- maximum a posteriori
- loss function
- markov random field
- learning algorithm
- map estimation
- learning problems
- high quality
- bayesian framework
- image reconstruction
- pairwise
- risk minimization
- machine learning
- energy function
- em algorithm
- expectation maximization
- maximum likelihood
- prior knowledge
- support vector
- training data
- similarity measure