Improving Classification Using Topic Correlation and Expectation Propagation.
Xavier SumbaNizar BouguilaPublished in: Canadian Conference on AI (2020)
Keyphrases
- gaussian process classification
- expectation propagation
- support vector
- decision trees
- feature extraction
- feature selection
- automatic relevance determination
- bayesian methods
- density estimation
- machine learning
- bayesian inference
- gaussian process
- machine learning algorithms
- class labels
- supervised learning
- approximate inference
- feature vectors
- training set
- image segmentation