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» Multiagent learning using a variable learning rate
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145
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CATA
2008
15 years 4 months ago
Investigation of Random Forest Performance with Cancer Microarray Data
The diagnosis of cancer type based on microarray data offers hope that cancer classification can be highly accurate for clinicians to choose the most appropriate forms of treatmen...
Myungsook Klassen, Matt Cummings, Griselda Saldana
GPEM
2000
121views more  GPEM 2000»
15 years 2 months ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang
106
Voted
SIGSOFT
2007
ACM
16 years 3 months ago
Recovering and using use-case-diagram-to-source-code traceability links
Use case diagrams (UCDs) are widely used to describe requirements and desired functionality of software products. However, UCDs are loosely linked to source code, and maintaining ...
Mark Grechanik, Kathryn S. McKinley, Dewayne E. Pe...
119
Voted
ICASSP
2007
IEEE
15 years 9 months ago
False Positive Reduction in Lung GGO Nodule Detection with 3D Volume Shape Descriptor
Lung nodule detection, especially ground glass opacity (GGO) detection, in helical computed tomography (CT) images is a challenging Computer-Aided Detection (CAD) task due to the ...
Ming Yang, Senthil Periaswamy, Ying Wu
149
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TCBB
2010
176views more  TCBB 2010»
15 years 1 months ago
Feature Selection for Gene Expression Using Model-Based Entropy
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihon...