Method and computer program product for determining an efficient feature set and an optimal threshold confidence value for a pattern recogniton classifier

摘要

A method and computer program product are disclosed for determining an efficient set of features and an optimal confidence threshold value for a pattern recognition system with at least one output class. An initial set of features is selected based upon an optimization algorithm. A plurality of pattern samples are then classified using the selected feature set. A threshold confidence value is optimized as to maximize the accuracy of the classification. The selected feature set and threshold confidence value are accepted if a cost function based upon classification accuracy meets a predetermined threshold cost function value. The feature set is changed, by adding, removing or replacing a feature within the set based upon the optimization algorithm, if the cost function does not meet the predetermined threshold cost function value.