Learning and correcting non-Gaussian model errors.
Danny SmylTyler N. TallmanJonathan A. BlackAndreas HauptmannDong LiuPublished in: J. Comput. Phys. (2021)
Keyphrases
- prior knowledge
- experimental data
- statistical model
- theoretical analysis
- active learning
- learning tasks
- learning algorithm
- computational model
- learning systems
- structured prediction
- learning scheme
- autoregressive
- learning models
- neural nets
- learning problems
- mathematical model
- knowledge acquisition
- probabilistic model
- learning process
- training data
- parameter estimation
- cost function
- gaussian distribution
- similarity measure
- high level