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Learning When Concepts Abound, Speaker: Omid Madani, SRI 20100927

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Published on Oct 28, 2013

Categorization is fundamental to intelligence. Without categories (concepts or classes), every experience would be new, and we couldn't make sense of our world. In this talk, I will briefly go over supervised learning, in particular multiclass learning. I will then present the approach of learning a sparse feature-to-class mapping, or index learning. While our primary driver has been scalability and simplicity, we have observed that classification accuracies remain competitive or better when compared to a number of other approaches, while we obtain speed up of orders of magnitude. I will discuss applications to several tasks.

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