147 search results - page 5 / 30 » Agnostic Learning with Ensembles of Classifiers |
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We propose a novel ensemble learning algorithm called Triskel, which has two interesting features. First, Triskel learns an ensemble of classifiers, each biased to have high preci...
IEEEIAS
2008
IEEE
14 years 1 months ago
2008
IEEE
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
In this paper, a new method is proposed to detect abnormal regions in colonoscopic images by patch-based classifier ensemble. Through supervised learning from image patches of var...
ICTAI
2005
IEEE
14 years 29 days ago
2005
IEEE
Learning from noisy data is a challenging and reality issue for real-world data mining applications. Common practices include data cleansing, error detection and classifier ensemb...
KDD
2003
ACM
14 years 7 months ago
2003
ACM
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...