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Wednesday, November 11 • 11:00am - 12:00pm
Cancer detection via the lasso and customized training

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I will review the lasso method for high dimensional supervised learningand discuss an example of its utility in  cancer diagnosis via mass spectometry. I will also discuss "customized training" for improving the  classifier performance.

avatar for Prof. Rob Tibshirani

Prof. Rob Tibshirani

Professor of Health Research and Policy, and Statistics, Stanford University
Robert Tibshirani's main interests are in applied statistics, biostatistics, and data mining. He is co-author of the books Generalized Additive Models (with T. Hastie), An Introduction to the Bootstrap (with B. Efron), and Elements of Statistical Learning (with T. Hastie and J. Friedman). His current research focuses on problems in biology and genomics, medicine, and industry. With collaborator Balasubramanian Narasimhan, he also develops... Read More →

Wednesday November 11, 2015 11:00am - 12:00pm
Ramanujan Stage