APPARATUS AND METHOD FOR ENSEMBLES OF KERNEL REGRESSION MODELS
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United States of America Patent
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Mar 4, 2015
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Sep 12, 2014
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Information representing physical parameters associated with the entity or process is sensed. The sensed information is collected into a current pattern or into a current sequence of patterns. The current pattern or current sequence of patterns is compared to historical data in order to obtain a population of best matches. A plurality of kernel regression models is created based upon the population of best matches. At least one distribution of estimate values is generated for a sensor of interest using the plurality of kernel regression models. The at least one distribution of the estimate values is analyzed for a sensor of interest to obtain a measure of the center of the at least one estimate distribution and a measure of the width of the at least one estimate distribution.
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