Improving model calibration with accuracy versus uncertainty optimization.
Ranganath KrishnanOmesh TickooPublished in: NeurIPS (2020)
Keyphrases
- computational model
- high level
- statistical model
- optimization model
- conceptual model
- cost function
- probabilistic model
- stochastic programming
- formal model
- optimization method
- mathematical model
- probability distribution
- prior knowledge
- optimization algorithm
- vision system
- theoretical framework
- experimental data
- structure from motion
- artificial neural networks
- objective function
- sensitivity analysis
- global optimization
- uncertain data
- bayesian networks
- similarity measure
- data sets