Boosting
نویسنده
چکیده
Boosting is a kind of ensemble methods which produce a strong learner that is capable of making very accurate predictions by combining rough and moderately inaccurate learners (which are called as base learners or weak learners). In particular, Boosting sequentially trains a series of base learners by using a base learning algorithm, where the training examples wrongly predicted by a base learner will receive more attention from the successive base learner; after that, it generates a final strong learner through a weighted combination of these base learners.
منابع مشابه
ارزیابی عملکرد روش‌هایBoosting و بیز A در چالش‌های مختلف معماری ژنومی صفات گسسته و پیوسته
سابقه و هدف: گزینش ژنومی چالشی امید بخش برای کشف رموز ژنتیکی صفات کمی و کیفی به منظور بهبود رشد ژنتیکی و صحت پیش بینی ژنومی در اصلاح دام می‌باشد .در این پژوهش، عملکرد روش‌های Boosting و بیز A در برآورد ارزش‌های اصلاحی ژنومی صفات آستانه‌ای دودویی و پیوسته در تراکم مختلف نشانگری با استفاده از معماری‌های مختلف ژنومی مورد بررسی قرار گرفت. مواد و روش‌ها: داده‌های ژنومی از طریق نرم افزار QMSim با ...
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