Transfer Learning in Quantum Parametric Classifiers: An Information-Theoretic Generalization Analysis.
Sharu Theresa JoseOsvaldo SimeonePublished in: CoRR (2022)
Keyphrases
- information theoretic
- transfer learning
- theoretic framework
- information theory
- mutual information
- decision trees
- machine learning
- knowledge transfer
- labeled data
- semi supervised learning
- feature selection
- machine learning algorithms
- test set
- training samples
- kullback leibler divergence
- learning tasks
- naive bayes
- unlabeled data
- data analysis
- reinforcement learning
- training data
- computer vision