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Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #75
Logarithmic Time One-Against-Some
Hal Daumé · Nikos Karampatziakis · John Langford · Paul Mineiro

We create a new online reduction of multiclass classification to binary classification for which training and prediction time scale logarithmically with the number of classes. We show that several simple techniques give rise to an algorithm which is superior to previous logarithmic time classification approaches while competing with one-against-all in space. The core construction is based on using a tree to select a small subset of labels with high recall, which are then scored using a one-against-some structure with high precision.