A Kriging and Stochastic Collocation ensemble for uncertainty quantification in engineering applications.
A. KainturaDomenico SpinaIvo CouckuytLuc KnockaertWim BogaertsTom DhaenePublished in: Eng. Comput. (2017)
Keyphrases
- stochastic nature
- ensemble learning
- neural network
- ensemble methods
- co occurrence
- stochastic optimization
- learning algorithm
- learning automata
- training data
- training set
- inherent uncertainty
- uncertain data
- stochastic simulation
- stochastic programming
- stochastic process
- chance constraints
- possibility theory
- regression problems
- decision theory
- belief functions
- quantitative evaluation
- random forest
- conditional probabilities
- rough sets
- decision trees