Approximation of Probabilistic Constraints in Stochastic Programming Problems with a Probability Measure Kernel.
Sofia N. Vasil'evaYuri S. KanPublished in: Autom. Remote. Control. (2019)
Keyphrases
- stochastic programming problems
- probability measure
- probability measures
- reproducing kernel hilbert space
- probabilistic model
- hilbert space
- probability distribution
- kernel methods
- feature space
- kernel function
- continuous functions
- domain adaptation
- support vector
- learning theory
- convex sets
- generative model
- dimensionality reduction
- principal component analysis
- support vector machine