Universal Feature Selection for Simultaneous Interpretability of Multitask Datasets.
Matt RaymondJacob Charles SaldingerPaolo ElvatiClayton ScottAngela VioliPublished in: CoRR (2024)
Keyphrases
- multi task
- feature selection
- binary classification problems
- multi task learning
- learning tasks
- multitask learning
- multi class
- feature selection algorithms
- metric learning
- learning problems
- gaussian processes
- multiple tasks
- transfer learning
- maximum margin
- support vector machine
- information gain
- multiclass support vector machines
- text categorization
- mutual information
- supervised learning
- information extraction
- model selection
- text classification
- image classification
- classification accuracy
- prior knowledge
- training data
- similarity measure
- feature extraction
- image segmentation
- learning algorithm