US20120284212A1
патент
A system includes a computer(s) coupled to a data storage device(s) that stores a training function repository and a pre dictive model repository that includes includes updateable trained predictive models each associated with an accuracy score. A series of training data sets are received, being train ing samples each having output data that corresponds to input data. The training data is different from initial training data that was used with training functions from the repository to train the predictive models initially. Upon receiving a first training data set included in the series and for each predictive model in the repository, the input data in the first training set is used to generate predictive output data that is compared to the output data. Based on the comparison and previous com parisons determined from the initial training data and from previously received training data sets, an updated accuracy score for each predictive model is determined.
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