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» Combining Methods for Dynamic Multiple Classifier Systems
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197
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SIGMOD
2009
ACM
177views Database» more  SIGMOD 2009»
16 years 20 days ago
Exploiting context analysis for combining multiple entity resolution systems
Entity Resolution (ER) is an important real world problem that has attracted significant research interest over the past few years. It deals with determining which object descript...
Zhaoqi Chen, Dmitri V. Kalashnikov, Sharad Mehrotr...
CVPR
2009
IEEE
16 years 7 months ago
A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis
The computer aided diagnosis (CAD) problems of detecting potentially diseased structures from medical images are typically distinguished by the following challenging characterist...
Dijia Wu (Rensselaer Polytechnic Institute), Jinbo...
134
Voted
ISF
2010
164views more  ISF 2010»
14 years 9 months ago
An SVM-based machine learning method for accurate internet traffic classification
Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
Ruixi Yuan, Zhu Li, Xiaohong Guan, Li Xu
MSO
2003
15 years 1 months ago
A Meta-Model based Approach for the Combination of Models in Multiple Languages
The provision of efficient methods and tool support for the development and engineering of distributed systems is a key enabling factor for the evolution of Information Technology...
Eckhardt Holz
94
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KDD
2004
ACM
123views Data Mining» more  KDD 2004»
16 years 26 days ago
A DEA approach for model combination
This paper proposes a novel Data Envelopment Analysis (DEA) based approach for model combination. We first prove that for the 2-class classification problems DEA models identify t...
Zhiqiang Zheng, Balaji Padmanabhan, Haoqiang Zheng