Uncertainty quantification for data-driven turbulence modelling with Mondrian forests.
Ashley ScillitoePranay SeshadriMark GirolamiPublished in: J. Comput. Phys. (2021)
Keyphrases
- data driven
- inherent uncertainty
- decision theory
- random forests
- uncertain data
- atmospheric turbulence
- probability theory
- model driven
- long range
- neural network
- mobile robot
- learning environment
- belief functions
- image sequences
- information systems
- real world
- uncertain information
- reasoning under uncertainty
- risk averse
- databases