TimeCLR: A self-supervised contrastive learning framework for univariate time series representation.
Xinyu YangZhenguo ZhangRongyi CuiPublished in: Knowl. Based Syst. (2022)
Keyphrases
- learning algorithm
- learning problems
- supervised learning
- distributed learning
- visual representation
- learning process
- prior knowledge
- online learning
- learning systems
- inference process
- decision trees
- learning scheme
- dynamic bayesian networks
- data sets
- multiple representations
- learning frameworks
- conceptual spaces
- representation scheme
- learning tasks
- probabilistic model
- active learning
- reinforcement learning
- machine learning