Discriminative and Generative Models for Clinical Risk Estimation: An Empirical Comparison.
John StamfordChandra KambhampatiPublished in: ICCSW (2017)
Keyphrases
- generative model
- discriminative models
- discriminative learning
- generative and discriminative models
- probabilistic model
- discriminative methods
- semi supervised
- semi supervised learning
- discriminatively trained
- fisher kernel
- mixture model
- em algorithm
- conditional random fields
- prior knowledge
- naive bayes models
- learning tasks
- sparse coding
- topic models
- language modeling
- expectation maximization
- maximum entropy principle
- discriminative learning framework
- representational power
- image processing
- latent dirichlet allocation
- information extraction
- active learning
- image statistics
- latent variables
- image set
- graphical models
- learning algorithm