Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification.
Dimitrios MiliosRaffaello CamorianoPietro MichiardiLorenzo RosascoMaurizio FilipponePublished in: NeurIPS (2018)
Keyphrases
- gaussian processes
- gaussian process
- relevance vector machine
- gaussian process regression
- model selection
- machine learning
- image classification
- bayesian methods
- hyperparameters
- multi task learning
- text classification
- feature selection
- training set
- gaussian process models
- covariance function
- preference learning
- machine learning algorithms
- expectation maximization
- supervised learning
- multi class
- prior knowledge
- feature vectors
- support vector
- learning algorithm