Deep Transfer Learning-Based Performance Prediction of URLLC in Independent and Not Necessarily Identically Distributed Interference Networks.
Mujtaba GhousThanh-Luan NguyenTri Nhu DoGeorges KaddoumPublished in: IEEE Access (2024)
Keyphrases
- transfer learning
- identically distributed
- varying degrees
- random variables
- learning tasks
- generalized gaussian
- knowledge transfer
- cross domain
- reinforcement learning
- labeled data
- transfer knowledge
- active learning
- machine learning
- text categorization
- machine learning algorithms
- collaborative filtering
- target domain
- learning algorithm
- semi supervised learning
- text classification
- text mining
- graphical models
- training data
- face recognition
- unlabeled data
- low dimensional
- bayesian networks
- data sets