%0 Generic %1 citeulike:909961 %A Friedman, J. %A Hastie, T. %A Tibshirani, R. %D 1998 %K adaboost, boosting, logistic, regression, statistical %T Additive logistic regression: a statistical view of boosting %U http://citeseer.ist.psu.edu/friedman98additive.html %X Boosting (Freund & Schapire 1995) is one of the most important recent developments in classification methodology. Boosting works by sequentially applying a classification algorithm to reweighted versions of the training data, and then taking a weighted majority vote of the sequence of classifiers thus produced. For many classification algorithms, this simple strategy results in dramatic improvements in performance. We show that this seemingly mysterious phenomenon can be understood in terms of...

@misc{citeulike:909961, abstract = {Boosting (Freund \& Schapire 1995) is one of the most important recent developments in classification methodology. Boosting works by sequentially applying a classification algorithm to reweighted versions of the training data, and then taking a weighted majority vote of the sequence of classifiers thus produced. For many classification algorithms, this simple strategy results in dramatic improvements in performance. We show that this seemingly mysterious phenomenon can be understood in terms of...}, added-at = {2008-06-17T16:01:02.000+0200}, author = {Friedman, J. and Hastie, T. and Tibshirani, R.}, biburl = {https://www.bibsonomy.org/bibtex/2e838f642efb122739cb91ace80963ac5/pprett}, citeulike-article-id = {909961}, comment = {(private-note)boosting as logistic regression. used for conditional probability estimates ---=note-separator=--- (private-note)Shows the relationship between adaboost and logistic regression. Both algorithms minimize similar loss functions.}, interhash = {b688e40ede2838b27e25d337f4040af3}, intrahash = {e838f642efb122739cb91ace80963ac5}, keywords = {adaboost, boosting, logistic, regression, statistical}, posted-at = {2008-03-10 20:12:54}, priority = {2}, timestamp = {2008-06-17T16:01:19.000+0200}, title = {Additive logistic regression: a statistical view of boosting}, url = {http://citeseer.ist.psu.edu/friedman98additive.html}, year = 1998 }