Pixel Club: Unsupervised Supervised Learning: Who Needs Labels Anyway?

גיא לבנון (המכון הטכנולוגי של ג'ורג'יה, ארה"ב)
יום רביעי, 18.5.2011, 10:30
חדר 337, בניין טאוב למדעי המחשב

I will describe two recent results in unsupervised supervised learning (performing supervised learning tasks without labels). The first result concerns evaluating the accuracy of classifiers and regression models without labels. The second concerns training margin based classifiers such as SVM or logistic regression for high dimensional data without labels.

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