Discriminative and Generative Models in Causal and Anticausal Settings.
Patrick BlöbaumShohei ShimizuTakashi WashioPublished in: AMBN@JSAI-isAI (2015)
Keyphrases
- generative model
- discriminative models
- generative and discriminative models
- discriminative learning
- discriminative methods
- semi supervised
- semi supervised learning
- probabilistic model
- naive bayes models
- fisher kernel
- mixture model
- bayesian networks
- maximum entropy principle
- learning tasks
- conditional random fields
- discriminatively trained
- language modeling
- hierarchical hidden markov models
- em algorithm
- discriminative learning framework
- latent dirichlet allocation
- object categories
- complex domains
- language model
- prior knowledge
- machine learning
- weakly supervised
- sparse coding
- image statistics
- topic models
- natural images
- expectation maximization
- supervised learning