Graphical abstractThe objective of this paper is to develop ensemble based classifiers that will improve the accuracy of Intrusion Detection. For this purpose, we trained and tested 12 …
AA Aburomman, MBI Reaz - Applied Soft Computing, 2016 - infona.pl
In machine learning, a combination of classifiers, known as an ensemble classifier, often outperforms individual ones. While many ensemble approaches exist, it remains, however, a …
AA Aburomman, MBI Reaz - Applied Soft Computing, 2016 - cs.uh.edu
abstract In machine learning, a combination of classifiers, known as an ensemble classifier, often outperforms individual ones. While many ensemble approaches exist, it remains …
AA Aburomman, MBI Reaz - Applied Soft Computing, 2016 - researchgate.net
abstract In machine learning, a combination of classifiers, known as an ensemble classifier, often outperforms individual ones. While many ensemble approaches exist, it remains …
AA Aburomman, MBI Reaz - Applied Soft Computing, 2016 - infona.pl
In machine learning, a combination of classifiers, known as an ensemble classifier, often outperforms individual ones. While many ensemble approaches exist, it remains, however, a …