Scalable Gaussian Process for Extreme Classification.
Akash Kumar DhakaMichael Riis AndersenPablo Garcia MorenoAki VehtariPublished in: MLSP (2020)
Keyphrases
- gaussian process
- gaussian process classification
- gaussian processes
- model selection
- gaussian process regression
- kernel logistic regression
- regression model
- support vector
- hyperparameters
- machine learning
- semi supervised
- approximate inference
- bayesian framework
- sparse approximations
- latent variables
- feature extraction
- incremental learning
- feature selection
- decision trees
- lower bound
- image classification
- feature vectors
- cross validation
- data mining
- expectation propagation
- supervised learning
- learning algorithm