Cerebrus Solutions Limited

Derek M Dempsey

Kate Butchart

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.

Performance assessment of data classifiers

A method for assessing the performance of 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, determining a measure of difference between each element of test output data and each corresponding element of result output data, forming a distribution function of the measures of differences, and forming a measure of performance from the distribution function.

A method and related apparatus and software of detecting anomalies in a stream of data values. The method comprises the steps of: receiving a data value on the stream of data; calculating a new weighted average responsive to the received data value, a previously stored weighted average associated with the stream of data, and a decay rate in the range of 0 to 1; and calculating a new measure of deviation from the new weighted average responsive to the new weighted average, the data value, a previously stored measure of deviation associated with the stream of data, and the decay rate.

Growing community of inventors

London, United Kingdom

Derek M Dempsey