The present invention relates to a scaleable automatic method of using
multiple techniques to generate models and combinations of models from
data and prior knowledge. The system provides unprecedented ease of use
in that many of the choices of technique and parameters are explored
automatically by the system, without burdening the user, and provides
scaleable learning over distributed processors to achieve speed and
data-handling capacity to satisfy the most demanding requirements.