Learning stochastic process-based models of dynamical systems from knowledge and data.

Jovan Tanevski Ljupco Todorovski Saso Dzeroski

Published in: BMC Syst. Biol. (2016)

Keyphrases

prior knowledge
dynamical systems
stochastic process
hidden variables
stochastic processes
reinforcement learning
predictive state representations
learning algorithm
latent variable models
image segmentation
supervised learning
higher order
level set
bayesian framework
gaussian process