Approximate Inference

Context

Approximate Inference is a backup method for performing inference if creating a Junction Tree for Exact Inference is prohibitive in terms of memory requirements or computation time. Approximate Inference is based on the law of large numbers and uses network simulation to approximate the probabilities. While Approximate Inference initially requires very little memory compared to Exact Inference, each inference step with Approximate Inference takes time to perform.

Usage

You can select Approximate Inference by choosing Menus > Inference > Approximate Inference.