Improving classification with latent variable models by sequential constraint optimization.
Machiel WesterdijkWim WiegerinckPublished in: Neurocomputing (2004)
Keyphrases
- constraint optimization
- latent variable models
- support vector machine
- text classification
- constraint programming
- feature selection
- support vector
- feature vectors
- probability distribution
- image classification
- machine learning algorithms
- latent variables
- pattern classification
- machine learning
- feature extraction
- branch and bound search