Recalibration Learning: Enabling Universal Transfer of ML Model of Gain and NF for Remote Optically Pumped Amplifiers.
Arthur MinakhmetovBenjamin PrieurMaël Le MonnierDelphine RouvillainBruno LavignePublished in: OFC (2024)
Keyphrases
- learning algorithm
- experimental data
- learning mechanism
- maximum likelihood
- prior knowledge
- mathematical model
- learning process
- similarity measure
- knowledge transfer
- computational model
- inductive inference
- cost function
- probability distribution
- conceptual model
- neural network
- neural nets
- em algorithm
- formal model
- learning tasks
- decision theoretic
- transfer learning
- statistical model
- privileged information
- theoretical framework
- learning systems
- parameter estimation
- database
- management system
- active learning
- support vector
- reinforcement learning
- database systems
- decision trees
- social networks
- real time