Near-boundary error reduction with an optimized weighted Dirichlet-Neumann boundary condition for stochastic PDE-based Gaussian random field generators.
Evan John RickettsPeter John CleallTony JeffersonPierre KerfridenPaul LyonsPublished in: Eng. Comput. (2023)
Keyphrases
- boundary conditions
- error reduction
- gaussian random field
- poisson equation
- classification error
- generalization error
- semi supervised
- sufficient conditions
- shape from shading
- classification accuracy
- feature selection
- partial differential equations
- likelihood function
- significant improvement
- image processing
- data sets
- class imbalance