Basis scaling and double pruning for efficient inference in network-based transfer learning.
Ken C. L. WongSatyananda KashyapMehdi MoradiPublished in: Pattern Recognit. Lett. (2024)
Keyphrases
- transfer learning
- efficient inference
- probabilistic inference
- learning tasks
- conditional random fields
- reinforcement learning
- active learning
- machine learning
- labeled data
- structure learning
- semi supervised learning
- markov random field
- fully connected
- human pose estimation
- approximate inference
- hidden variables
- multi task
- exact inference
- learning algorithm
- machine learning algorithms
- collaborative filtering
- text categorization
- text classification
- graphical models
- structured prediction
- data sets
- markov networks
- message passing
- belief networks