Boosting with missing predictors
نویسندگان
چکیده
منابع مشابه
Boosting with missing predictors.
Boosting is an important tool in classification methodology. It combines the performance of many weak classifiers to produce a powerful committee, and its validity can be explained by additive modeling and maximum likelihood. The method has very general applications, especially for high-dimensional predictors. For example, it can be applied to distinguish cancer samples from healthy control sam...
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ژورنال
عنوان ژورنال: Biostatistics
سال: 2009
ISSN: 1468-4357,1465-4644
DOI: 10.1093/biostatistics/kxp052