Constraining the Parameters of High-Dimensional Models with Active Learning.
Sascha CaronTom HeskesSydney OttenBob StienenPublished in: CoRR (2019)
Keyphrases
- active learning
- high dimensional
- probabilistic model
- parameter estimation
- parameter space
- free parameters
- maximum likelihood
- artificial neural networks
- nearest neighbor
- neural network
- parametric models
- parameter values
- model selection
- expected loss
- analytical models
- autoregressive
- sensitivity analysis
- similarity search
- multi dimensional
- prior knowledge
- reinforcement learning