Performance assessment of data classifiers

Details Performance assessment of data classifiers Performance assessment of data classifiers

2006-03-21

2006-03-21

Wachsman, Hal (Department: 2857)

Data processing: measuring, calibrating, or testing

Measurement system

Measured signal processing

C702S182000, C706S020000

Reexamination Certificate

active

07016815

ABSTRACT:
A method for operating a data classifier operable to generate an element of output data in response to an element of input data, such as a neural network, is disclosed. The method includes using the data classifier to generate elements of result output data in response to elements of test input data, generating a measure of difference between each element of test output data and each corresponding element of result output data, associating the measures of difference with categories corresponding to different values of measures of difference, and, based on the number of measures of difference associated with the categories, generating a performance measure of the data classifier.

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Hollmen et al., “A self-organizing map for clustering probabilistic models”, Sep. 7-10, 1999, IEEE, Ninth International Conference on Artificial Neural Networks, 1999, ICANN 99, vol. 2, pp. 946-951.

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