Decentralized Learning-based Scenario Identification Method for Intelligent Vehicular Communications.
Yaru ZhouYu WangtPengfei LiuJie YangTomoaki OhtsukiHikmet SariPublished in: VTC Fall (2021)
Keyphrases
- prior knowledge
- high accuracy
- objective function
- learning algorithm
- synthetic data
- unsupervised learning
- computational cost
- significant improvement
- computational complexity
- high precision
- multi agent
- supervised learning
- reinforcement learning
- detection method
- feature selection
- learning mechanism
- training process
- communication systems
- learning systems
- neural network
- segmentation algorithm
- support vector machine svm
- pairwise
- state space
- dynamic programming
- active learning
- preprocessing
- artificial neural networks