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MCS
2005
Springer
13 years 10 months ago
Using an Ensemble of Classifiers to Audit a Production Classifier
After deploying a classifier in production it is essential to support its lifecycle. This paper describes the application of an ensemble of classifiers to support two stages of the...
Piero P. Bonissone, Neil Eklund, Kai Goebel
DMIN
2006
158views Data Mining» more  DMIN 2006»
13 years 6 months ago
Ensemble Selection Using Diversity Networks
- An ideal ensemble is composed of base classifiers that perform well and that have minimal overlap in their errors. Eliminating classifiers from an ensemble based on a criterion t...
Qiang Ye, Paul W. Munro
IEEECIT
2007
IEEE
13 years 11 months ago
Ensembles of Region Based Classifiers
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...
Sungha Choi, Byungwoo Lee, Jihoon Yang
PCM
2007
Springer
114views Multimedia» more  PCM 2007»
13 years 11 months ago
Random Convolution Ensembles
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...
Michael Mayo
FLAIRS
2008
13 years 7 months ago
Genetic Approach for Optimizing Ensembles of Classifiers
An ensemble of classifiers is a set of classifiers whose predictions are combined in some way to classify new instances. Early research has shown that, in general, an ensemble of ...
Francisco Javier Ordóñez, Agapito Le...