Constrained Bayesian Networks: Theory, Optimization, and Applications.

Paul Beaumont Michael Huth

Published in: CoRR (2017)

Keyphrases

bayesian networks
concave convex procedure
global optimization
optimization method
optimization algorithm

neural network
general theory
optimization problems
conditional probabilities

constrained optimization
linear programming
particle swarm optimization
simulated annealing

optimization process
learning bayesian networks
inference in bayesian networks
decision making