Ann Math Artif Intell 2008 Nov;54(1-3):3-51
Electrical Engineering Department, California Institute of Technology, Pasadena, CA 91125, USA.
The paper introduces mixed networks, a new graphical model framework for expressing and reasoning with probabilistic and deterministic information. The motivation to develop mixed networks stems from the desire to fully exploit the deterministic information (constraints) that is often present in graphical models. Several concepts and algorithms specific to belief networks and constraint networks are combined, achieving computational efficiency, semantic coherence and user-interface convenience. Read More