Furthermore, compared with the general Bayesian classifier ensemble, PEBNC requires less space because there is no need to save parameters of individual classifiers.
此外,与一般的贝叶斯集成分类器相比,PEBNC不必存储成员分类器的参数,空间复杂度大大降低。
This article studies some individual classifiers in Qing Dynasty, showing the difference between individual classifiers in the book and those used in the classical works before Song Dynasty.
本文对书中若干个颇具时代特色的个体量词进行考察,并与唐五代及其以前的有关资料相比较,从而描绘出它们与唐五代及其以前不同的用。
This article studies some individual classifiers in Qing Dynasty, showing the difference between individual classifiers in the book and those used in the classical works before Song Dynasty.
本文对书中若干个颇具时代特色的个体量词进行考察,并与唐五代及其以前的有关资料相比较,从而描绘出它们与唐五代及其以前不同的用。
应用推荐