文件名称：CS229 Supplemental Lecture notes John Duchi
文件大小：574KB
文件格式：ZIP
更新时间：2021-11-19 05:32:13
CS229 Supple John Duchi
1 Boosting We have seen so far how to solve classification (and other) problems when we have a data representation already chosen. We now talk about a procedure, known as boosting, which was originally discovered by Rob Schapire, and further developed by Schapire and Yoav Freund, that automatically chooses feature representations. We take an optimization-based perspective, which is somewhat different from the original interpretation and justification of Freund and Schapire, but which lends itself to our approach of (1) choose a representation, (2) choose a loss, and (3) minimize the loss.
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Supplemental Notes
----loss-functions.pdf(69KB)
----representer-function.pdf(377KB)
----boosting_example.m(2KB)
----hoeffding.pdf(85KB)
----boosting.pdf(126KB)