Bayesian uncertainty modeling for programming by demonstration.

Jonas Umlauft Yunis Fanger Sandra Hirche

Published in: ICRA (2017)

Keyphrases

dempster shafer
decision theory
data driven
reasoning under uncertainty
neural network
image processing
modeling language
bayesian learning
real time
machine learning
genetic algorithm
image sequences
data structure
fuzzy sets
gaussian processes
handling uncertainty