说明: 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 develop <fa12345678fa1> 上传 | 大小:574kb
说明: Generative Learning algorithms So far, we’ve mainly been talking about learning algorithms that model p(y|x; θ), the conditional distribution of y given x. For instance, logistic regression modeled p(y|x; θ) as h(x) = g(θT x) where g is the sigmoid <fa12345678fa1> 上传 | 大小:2mb