Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction.
Fabienne ThomaratFabien LauerYann GuermeurPublished in: PRIB (2012)
Keyphrases
- protein secondary structure prediction
- generative model
- protein secondary structure
- discriminant analysis
- probabilistic model
- machine learning
- hierarchical hidden markov models
- mixture model
- em algorithm
- discriminative models
- discriminative learning
- conditional random fields
- semi supervised
- principal component analysis
- expectation maximization
- maximum entropy principle
- object categories
- generative and discriminative models
- representational power
- maximum likelihood
- text classification
- object detection
- topic models
- low dimensional
- support vector
- feature extraction