AAAI
2006
13 years 5 months ago
2006
Combining multiple classifiers via combining schemes or meta-learners has led to substantial improvements in many classification problems. One of the challenging tasks is to choos...
DAS
2006
Springer
13 years 8 months ago
2006
Springer
Traditional approaches to combining classifiers attempt to improve classification accuracy at the cost of increased processing. They may be viewed as providing an accuracy-speed tr...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
Using Boolean AND and OR functions to combine the responses of multiple one- or two-class classifiers in the ROC space may significantly improve performance of a detection system o...
ICDAR
2009
IEEE
13 years 11 months ago
2009
IEEE
With rejection strategies in a handwriting recognition system, we are able to improve the reliability and accuracy of the recognized characters. In this paper, we propose several ...
KDD
2002
ACM
14 years 4 months ago
2002
ACM
Combining multiple classifiers is of particular interest in multimedia applications. Each modality in multimedia data can be analyzed individually, and combining multiple pieces of...
CHI
2009
ACM
14 years 4 months ago
2009
ACM
Machine learning is an increasingly used computational tool within human-computer interaction research. While most researchers currently utilize an iterative approach to refining ...