156 search results - page 2 / 32 » Ensembles of Classifiers from Spatially Disjoint Data |
105
Voted
TEC
2008
14 years 10 months ago
2008
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
104
Voted
IEEECIT
2007
IEEE
15 years 4 months ago
2007
IEEE
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...
80
Voted
PCM
2007
Springer
15 years 4 months ago
2007
Springer
A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...
98
Voted
KDD
2003
ACM
15 years 10 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...
127
Voted
ICPR
2006
IEEE
15 years 11 months ago
2006
IEEE
Face representations based on Gabor features have achieved great success in face recognition, such as Elastic Graph Matching, Gabor Fisher Classifier (GFC), and AdaBoosted Gabor F...