Valid inferential models for prediction in supervised learning problems.
Leonardo CellaRyan MartinPublished in: Int. J. Approx. Reason. (2022)
Keyphrases
- learning problems
- supervised learning
- machine learning algorithms
- learning algorithm
- learning tasks
- learning models
- supervised learning algorithms
- probabilistic model
- multiple instance
- prior knowledge
- machine learning
- binary classification
- model selection
- semi supervised
- multi task learning
- sample complexity
- kernel based learning
- neural network
- learning process
- kernel methods
- prediction accuracy
- training data
- image processing
- active learning
- information retrieval
- statistical learning theory
- accurate models
- convex optimization problems
- information extraction