S2DEVFMAP: Self-Supervised Learning Framework with Dual Ensemble Voting Fusion for Maximizing Anomaly Prediction in Timeseries.
Sarala NaiduNing XiPublished in: CoRR (2024)
Keyphrases
- learning algorithm
- main contribution
- learning scheme
- neural network
- learning systems
- reinforcement learning
- information fusion
- prediction accuracy
- anomaly detection
- unsupervised learning
- supervised learning
- active learning
- learning process
- learning mechanism
- multiple features
- fusion method
- distributed learning
- prediction error
- neural network ensemble
- design principles
- theoretical framework
- model selection
- prior knowledge
- training data
- e learning
- feature selection
- machine learning