Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks.

Martin Paluszewski Thomas Hamelryck

Published in: BMC Bioinform. (2010)

Keyphrases

dynamic bayesian networks
particle filtering
approximate inference
learning algorithm
learning process
active learning
supervised learning
exact inference
machine learning
bayesian networks
support vector
regression model
state variables