Decision making in classification problems

Details Decision making in classification problems Decision making in classification problems

2005-08-16

2005-08-16

Hoff, Marc S. (Department: 2857)

Data processing: measuring, calibrating, or testing

Measurement system

Performance or efficiency evaluation

C702S127000, C702S181000, C702S189000, C702S190000, C704S231000, C704S246000, C704S251000, C382S224000

Reexamination Certificate

active

06931351

ABSTRACT:
A method of classifying samples to one of a number of predetermined classes involves using a number of class models or classifiers to form order statistic for each classifier. A linear combination of the order statistic (L-statistic) is calculated to determine the confidence of that particular classifier, both in general and for that particular sample. Relative weights are then derived from these confidences, and used to calculate a weighted summation across all classifiers for each class of the likelihoods that a sample belongs to that class. The sample is classified in the class which has the associated weighted summation which is greatest in value.

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