IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems.
Filippo FedeliAlberto Maria MetelliFrancesco TrovòMarcello RestelliPublished in: IEEE Trans. Neural Networks Learn. Syst. (2023)
Keyphrases
- learning problems
- supervised learning
- learning algorithm
- multiple instance
- learning tasks
- machine learning
- binary classification
- machine learning algorithms
- unsupervised learning
- semi supervised learning
- kernel methods
- computational learning theory
- semi supervised
- statistical learning theory
- data streams
- sample complexity
- active learning
- reinforcement learning
- pac learning
- multi task learning
- multi task
- supervised classification
- training data
- convex optimization problems
- multiple instance learning
- concept drift
- unlabeled data
- structured sparsity
- training set
- function approximation
- feature vectors