MTLComb: multi-task learning combining regression and classification tasks for joint feature selection.
Han CaoSivanesan RajanBianka HahnErsoy KocakDaniel DurstewitzEmanuel SchwarzVerena Schneider-LindnerPublished in: CoRR (2024)
Keyphrases
- multi task learning
- multi task
- feature selection
- gaussian processes
- learning tasks
- multiple tasks
- multitask learning
- learning problems
- multi class
- binary classification tasks
- transfer learning
- multi label image annotation
- regression model
- model selection
- learning algorithm
- mutual information
- machine learning
- text classification
- support vector
- high order
- feature set
- metric learning
- theoretical analysis
- feature extraction
- feature space
- higher order
- image classification
- machine learning algorithms
- learning models
- classification accuracy
- learning experience
- training data
- unsupervised learning