A first distribution of cases over a first group of categories is received. A categorizer trained using a search-and-confirm technique classifies the cases into a second group of categories. A second distribution of the cases over the second group of categories is generated using results of the classifying. The first and second distributions are compared to identify differences between the first and second distributions.

 
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< Resource assignment optimization using direct encoding and genetic algorithms

> System and method for fusing data from different information sources with shared-sampling distribution based boosting

> Distinguishing facts from opinions using a multi-stage approach

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