February 2007
Beginner to intermediate
464 pages
16h
English
book
Pharmaceutical Statistics Using SAS
by Ph. D. Alex Dmitrienko, Ph. D. Christy Chuang-Stein, Sr. Ralph B. D'Agostino
Content preview from Pharmaceutical Statistics Using SAS
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2.3. Boosting
Several authors have written thorough summaries of the historical development of boosting (see, e.g., Friedman et al., 2000; Schapire, 2002) For completeness of this work, we provide a brief overview of boosting and include recent findings.
2.3.1. Evolution of boosting
The concept of boosting originated in the machine learning community where Kearns and Valiant (1989) explored weak learning algorithms (algorithms that can classify objects better than random) and strong learning algorithms (algorithms that can classify accurately). The question of the relationship between weak and strong learning algorithms was initially posed, and was addressed soon after by Schapire (1990). In his work, Schapire showed that if a concept was weakly ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.