Meta-Transfer Learning Using Wavelet Decomposition for Multi-Horizon Time Series Forecasting.
Mario MayaWen YuPublished in: IEEE Access (2022)
Keyphrases
- transfer learning
- wavelet decomposition
- multiresolution
- wavelet transform
- multiscale
- subband
- learning tasks
- wavelet domain
- labeled data
- high frequency
- knowledge transfer
- reinforcement learning
- active learning
- machine learning
- feature vectors
- wavelet coefficients
- cross domain
- text classification
- domain adaptation
- semi supervised learning
- text categorization
- transfer knowledge
- spatial resolution
- unlabeled data
- meta level
- high quality
- learning algorithm
- collaborative filtering
- semi supervised
- machine learning algorithms
- multi task
- human visual system
- gray level
- sar images
- bit rate
- text mining
- supervised learning
- information extraction
- object recognition
- transferring knowledge