Binary linear classification and feature selection via generalized approximate message passing.
Justin ZinielPhilip SchniterPer SederbergPublished in: CISS (2014)
Keyphrases
- message passing
- linear classification
- inference in graphical models
- feature selection
- linear classifiers
- belief propagation
- document classification
- distributed systems
- maximum margin
- markov random field
- text categorization
- graphical models
- multi class
- feature set
- support vector machine
- machine learning
- text classification
- feature extraction
- support vector
- hyperplane
- learning algorithm
- image segmentation
- training data
- feature space
- prior information
- feature vectors
- knn
- active contours
- model selection