A Memory Constrained Approximate Bayesian Inference Approach Using
Incremental Construction of Clique Trees
Abstract
The complexity of inference using the belief propagation algorithms
increases exponentially with the maximum clique size. We describe an
approximate inference approach when there are clique size limitations
due to memory constraints using incremental construction of clique
trees.