bagging
Bagging算法（英语：Bootstrapaggregating，引导聚集算法），又称装袋算法，是机器学习领域的一种团体学习算法。最初由LeoBreiman于1996年提出。Bagging算法可与其他分类、回归算法结合，提高其准确率、稳定性的同时，通过降低结果的方差，避免过拟合的发生。
资源总数
3
源代码
18
bagging 热门资料
Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant
Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant of Bagging algorith...
2015-04-10
189
期刊论文：Classifying G-protein coupled receptors with bagging classificati
·期刊论文：Classifying G-protein coupled receptors with bagging classification tree
2024-06-26
5