When Discriminative Learning of Bayesian Network Parameters Is Easy.
Hannes WettigPeter GrünwaldTeemu RoosPetri MyllymäkiHenry TirriPublished in: IJCAI (2003)
Keyphrases
- discriminative learning
- network parameters
- generative model
- conditional probabilities
- network size
- posterior probability
- bayesian networks
- object categories
- rbf neural network
- highly efficient
- maximum likelihood
- maximum margin
- structured prediction
- pairwise constraints
- probabilistic model
- bayesian inference
- weakly supervised
- object recognition
- machine learning
- radial basis function
- transfer learning
- feature vectors
- state space