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» Predicting relative performance of classifiers from samples
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BMCBI
2007
173views more  BMCBI 2007»
13 years 9 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
ICNP
2000
IEEE
14 years 1 months ago
Differentiated Predictive Fair Service for TCP Flows
The majority of the traffic (bytes) flowing over the Internet today have been attributed to the Transmission Control Protocol (TCP). This strong presence of TCP has recently spu...
Ibrahim Matta, Liang Guo
BMCBI
2006
99views more  BMCBI 2006»
13 years 9 months ago
Genetic algorithm learning as a robust approach to RNA editing site prediction
Background: RNA editing is one of several post-transcriptional modifications that may contribute to organismal complexity in the face of limited gene complement in a genome. One f...
James Thompson, Shuba Gopal
CVPR
2012
IEEE
11 years 11 months ago
Robust late fusion with rank minimization
In this paper, we propose a rank minimization method to fuse the predicted confidence scores of multiple models, each of which is obtained based on a certain kind of feature. Spe...
Guangnan Ye, Dong Liu, I-Hong Jhuo, Shih-Fu Chang
IGARSS
2010
13 years 4 months ago
Calibrating probabilities for hyperspectral classification of rock types
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...
Sildomar T. Monteiro, Richard J. Murphy