Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models.
Nikolaos DimitriadisPascal FrossardFrançois FleuretPublished in: CoRR (2022)
Keyphrases
- manifold learning
- multiple tasks
- dimensionality reduction
- low dimensional
- semi supervised
- multi task learning
- high dimensional
- probabilistic model
- feature extraction
- dimension reduction
- data mining
- training data
- learning models
- sparse representation
- high dimensional data
- semi supervised learning
- data sets
- prior knowledge
- pairwise
- feature space