Patent ID: 9477906
Filing Date: 2016-10-25
CPC Classification: A61B,G06K,G16B,H01J

Claim Text:
1. A method for generating a classifier to classify a sample in accordance with physical attributes of the sample, comprising the steps of: a) obtaining physical measurement data for classification from a plurality of samples, the physical measurement data for each of the samples comprising a multitude of feature values; b) assigning a class label to each of the samples; with a programmed computer: c) constructing a multitude of individual mini-classifiers using sets of feature values from the samples up to a pre-selected feature size (s, integer); d) testing the performance of individual mini-classifiers constructed in step c) when classifying at least some of the multitude of samples and retaining those mini-classifiers whose performance exceeds a threshold or lies within preset limits to arrive at a filtered set of mini-classifiers; e) generating a master classifier (MC) by combining the filtered mini-classifiers using a regularized combination method; f) wherein the samples comprise a set of samples which are randomly separated into a test set and a training set, and wherein the steps c)-e) are repeated in the programmed computer for different realizations of the separation of the set of samples into test and training sets, thereby generating a plurality of master classifiers, one for each realization of the separation of the set of samples into training and test sets, and g) wherein the method further comprises the step of defining a final classifier from one or a combination of more than one of the plurality of master classifiers.