Machine learning of linear differential equations using Gaussian processes.
Maziar RaissiParis PerdikarisGeorge E. KarniadakisPublished in: J. Comput. Phys. (2017)
Keyphrases
- gaussian processes
- differential equations
- machine learning
- gaussian process
- dynamical systems
- gaussian process regression
- covariance function
- runge kutta
- preference learning
- gaussian process models
- machine learning algorithms
- decision trees
- partial differential equations
- hyperparameters
- learning algorithm
- multi task
- supervised learning
- reinforcement learning
- feature selection
- image reconstruction
- learning problems
- sample size
- model selection
- graphical models
- higher order
- text mining
- artificial neural networks
- similarity measure
- computer vision