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US20100082400A1

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Machine learning techniques are employed to build and evolve classifiers (e.g., decision trees or other rule-based clas sifiers) which generate scores representing confidence values associated with particular paths through a classifier (rather than discrete class labels), and then compare those scores to tunable thresholds to effect classification.

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