z-logo
open-access-imgOpen Access
An Empirical Study of Bagging Predictors for Different Learning Algorithms
Author(s) -
Guohua Liang,
Xingquan Zhu,
Chengqi Zhang
Publication year - 2011
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v25i1.8026
Subject(s) - machine learning , artificial intelligence , computer science , robustness (evolution) , ensemble learning , naive bayes classifier , benchmark (surveying) , bootstrap aggregating , stability (learning theory) , key (lock) , algorithm , boosting (machine learning) , support vector machine , biochemistry , chemistry , computer security , geodesy , gene , geography

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom