86 search results - page 2 / 18 » Bagging, Boosting, and C4.5 |
CIDM
2009
IEEE
13 years 11 months ago
2009
IEEE
— Identifying faulty classes in object-oriented software is one of the important software quality assurance activities. This paper empirically investigates the application of t...
ICANN
2003
Springer
13 years 10 months ago
2003
Springer
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...
MCS
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. One of the potential advantages of multiple classifier systems is an increased robustness to noise and other imperfections in data. Previous experiments on classificati...
PAKDD
2004
ACM
13 years 10 months ago
2004
ACM
Abstract. In this paper we upgrade linear logistic regression and boosting to multi-instance data, where each example consists of a labeled bag of instances. This is done by connec...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
In online tracking, the tracker evolves to reflect variations in object appearance and surroundings. This updating process is formulated as a supervised learning problem, thus a ...