On the Asymptotic Optimality of Maximum Margin Bayesian Networks.
Sebastian TschiatschekFranz PernkopfPublished in: AISTATS (2013)
Keyphrases
- maximum margin
- asymptotic optimality
- bayesian networks
- markov networks
- asymptotically optimal
- graphical models
- sufficient conditions
- structured prediction
- support vector
- support vector machine
- learning algorithm
- probabilistic model
- conditional probabilities
- pattern classification
- probability distribution
- flowshop
- hidden variables
- hyperplane
- maximum likelihood
- posterior probability
- first order logic
- special case
- incomplete data
- generalization error
- multi task
- machine learning
- belief propagation
- multiple kernel learning
- conditional random fields
- arrival rate
- random variables
- pairwise
- scheduling problem