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Ryan Tibshirani Data Mining: 36-462/36-662 January 22 2013
www.stat.cmu.eduRyan Tibshirani Data Mining: 36-462/36-662 January 22 2013 Optional reading: ESL 14.10 1. Information retrieval with the web Last time:information retrieval, learned how to compute similarity scores (distances) of documents to a given query string But what if …
Ryan Tibshirani Data Mining: 36-462/36-662 April 25 2013
www.stat.cmu.eduBoosting Boosting1 is similar to bagging in that we combine the results of several classi cation trees. However, boosting does something fundamentally di erent, and can work a lot better As usual, we start with training data (x