The exact relationship between regularization in RKHS and Bayesian estimation of Gaussian random fields
Aleksandr Y. AravkinBradley M. BellJames V. BurkeGianluigi PillonettoPublished in: CoRR (2013)
Keyphrases
- bayesian estimation
- random fields
- reproducing kernel hilbert space
- random field model
- parameter estimation
- markov random field
- posterior distribution
- mrf models
- maximum entropy
- non stationary
- conditional random fields
- maximum likelihood
- kernel methods
- markov fields
- loss function
- potential functions
- probabilistic model
- density estimation
- probability distribution
- gaussian process
- pairwise
- kernel function
- gaussian distribution
- graph cuts
- hidden variables
- active learning
- bayesian networks
- image segmentation