V. Mirčevska, M. Gams

Abstract:

This paper presents a procedure for developing rule engine by combining machine learning with expert knowledge. This procedure was applied in the domain of classifying human posture based on information of location of body parts. The procedure overcomes in certain measure the problem of over-fitting to non-representative training dataset. Tests show improvement in accuracy of the developed rule engine in comparison to machine learning techniques. Possibilities for improvement and automation of the procedure for rule engine development are discussed at the end of the paper. The presented procedure can be applied to any problem domain in which representative training dataset is not available or is difficult to obtain.