Overview

Bayesian Technology Area focusses on the development of a proprietary approach for constructing PredictionProbe Bayesian Belief Networks (PBBN) for practical implementation to any problem in any industry by developing capabilities that will:

  • Minimize amount of required data,
  • Improve computational efficiency for systems with a large number of random variables,
  • Improve computational efficiency for a multitude of states,
  • Allow the use of continuous random variables, with no limitations on distribution type or statistical dependency,
  • Allow computation of very small probabilities (e.g., less than 10-6), and
  • Automatic generation of states and conditional probability tables (CPTs), and more.