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» On Combining Classifiers
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GECCO
2004
Springer
150views Optimization» more  GECCO 2004»
14 years 3 months ago
Parameter Adaptation within Co-adaptive Learning Classifier Systems
The authors propose a co-adaptive approach to controlling parameters for coevolution-based learning classifier systems. By taking advantage of the on-line incremental learning capa...
Chung-Yuan Huang, Chuen-Tsai Sun
GECCO
2007
Springer
144views Optimization» more  GECCO 2007»
14 years 2 months ago
Mixing independent classifiers
In this study we deal with the mixing problem, which concerns combining the prediction of independently trained local models to form a global prediction. We deal with it from the ...
Jan Drugowitsch, Alwyn Barry
ICIP
2004
IEEE
14 years 12 months ago
A classifier design for detecting Image manipulations
In this paper we present a framework for digital image forensics. Based on the assumptions that some processing operations must be done on the image before it is doctored, and an ...
Ismail Avcibas, Sevinc Bayram, Nasir D. Memon, Mah...
IJCAI
2003
13 years 11 months ago
Constructing Diverse Classifier Ensembles using Artificial Training Examples
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
Prem Melville, Raymond J. Mooney
JASIS
2006
96views more  JASIS 2006»
13 years 10 months ago
Learning to classify documents according to genre
Genre or style analysis can be used to improve results achieved using standard IR techniques. A genre class is a group of documents that are written in a similar style. Genre clas...
Aidan Finn, Nicholas Kushmerick