Using Machine Learning to Quantify the Robustness of Network Controllability.
Ashish DhimanPeng SunRobert E. KooijPublished in: MLN (2020)
Keyphrases
- machine learning
- pattern recognition
- computer networks
- peer to peer
- reinforcement learning
- computer vision
- feature selection
- network architecture
- machine learning approaches
- active learning
- text mining
- data mining
- network model
- network traffic
- learning tasks
- network design
- inductive logic programming
- community structure
- real time
- learning problems
- statistical methods
- network structure
- case study
- artificial intelligence
- data sets