Learning the Relevant Percepts of Modular Hierarchical Bayesian Driver Models Using a Bayesian Information Criterion.

Mark Eilers Claus Möbus

Published in: HCI (17) (2011)

Keyphrases

hierarchical bayesian
statistical models
learning models
probabilistic model
model selection
bayesian information criterion
learning algorithm
reinforcement learning
prior knowledge
structured prediction
machine learning
image processing
decision trees
akaike information criterion