Machine Learning for QoT Estimation of Unseen Optical Network States.
Tania PanayiotouGiannis SavvaMohammad Behnam ShariatiIoannis TomkosGeorgios EllinasPublished in: OFC (2019)
Keyphrases
- machine learning
- peer to peer
- nonlinear dynamical
- knowledge acquisition
- computational intelligence
- previously unseen
- decision trees
- network structure
- computer networks
- learning algorithm
- text mining
- pattern recognition
- reinforcement learning
- optical networks
- network design
- explanation based learning
- transport network
- optical burst switching
- inductive learning
- artificial intelligence
- data sets
- network traffic
- machine learning algorithms
- text classification
- supervised learning
- support vector machine
- active learning
- training set
- data analysis
- computer science
- training data