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» Combining Methods for Dynamic Multiple Classifier Systems
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125
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CHI
2009
ACM
16 years 1 months ago
EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers
Machine learning is an increasingly used computational tool within human-computer interaction research. While most researchers currently utilize an iterative approach to refining ...
Justin Talbot, Bongshin Lee, Ashish Kapoor, Desney...
95
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MCS
2002
Springer
15 years 2 days ago
On Combining One-Class Classifiers for Image Database Retrieval
Abstract. In image retrieval systems, images can be represented by single feature vectors or by clouds of points. A cloud of points offers a more flexible description but suffers f...
Carmen Lai, David M. J. Tax, Robert P. W. Duin, El...
ICPR
2002
IEEE
16 years 1 months ago
Speeding up SVM Decision Based on Mirror Points
In this paper, we propose a new method to speed up SVM decision based on the idea of mirror points. Decisions based on multiple simple classifiers, which are formed as a result of...
Jiun-Hung Chen, Chu-Song Chen
ICPR
2008
IEEE
16 years 1 months ago
Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
Matthew T. Karnick, Michael Muhlbaier, Robi Polika...
ICCS
2007
Springer
15 years 4 months ago
Combining Classifiers for Web Violent Content Detection and Filtering
Keeping people away from litigious information becomes one of the most important research area in network information security. Indeed, Web filtering is used to prevent access to u...
Radhouane Guermazi, Mohamed Hammami, Abdelmajid Be...