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» Making generative classifiers robust to selection bias
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IJON
2006
95views more  IJON 2006»
14 years 9 months ago
Ensemble classifiers based on correlation analysis for DNA microarray classification
Since accurate classification of DNA microarray is a very important issue for the treatment of cancer, it is more desirable to make a decision by combining the results of various ...
Kyung-Joong Kim, Sung-Bae Cho
86
Voted
CASES
2006
ACM
15 years 3 months ago
Architecture and circuit techniques for low-throughput, energy-constrained systems across technology generations
Rising interest in the applications of wireless sensor networks has spurred research in the development of computing systems for lowthroughput, energy-constrained applications. Un...
Mark Hempstead, Gu-Yeon Wei, David Brooks
MIR
2006
ACM
157views Multimedia» more  MIR 2006»
15 years 3 months ago
Generating summaries and visualization for large collections of geo-referenced photographs
We describe a framework for automatically selecting a summary set of photos from a large collection of geo-referenced photographs. Such large collections are inherently difficult ...
Alexander Jaffe, Mor Naaman, Tamir Tassa, Marc Dav...
92
Voted
ACL
2009
14 years 7 months ago
A Framework of Feature Selection Methods for Text Categorization
In text categorization, feature selection (FS) is a strategy that aims at making text classifiers more efficient and accurate. However, when dealing with a new task, it is still d...
Shoushan Li, Rui Xia, Chengqing Zong, Chu-Ren Huan...
90
Voted
GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
14 years 10 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...