Briefs

ACM has recognized two leading theoretical scientists for their contribution to highly accurate prediction rules used in a range of machine learning applications associated with artificial intelligence. Yoav Freund of Columbia University and Robert Schapire of Princeton University introduced a new boosting algorithm, called AdaBoost, which can be used to significantly reduce the error of algorithms used in statistical analysis, spam filtering, fraud detection, optical character recognition, and market segmentation among other applications. Freund and Schapire will receive the Paris Kanellakis Theory and Practice Award, which carries a $5,000 prize.

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