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» A Functional Ontology of Observation and Measurement
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BMCBI
2005
112views more  BMCBI 2005»
14 years 11 months ago
Towards precise classification of cancers based on robust gene functional expression profiles
Background: Development of robust and efficient methods for analyzing and interpreting high dimension gene expression profiles continues to be a focus in computational biology. Th...
Zheng Guo, Tianwen Zhang, Xia Li, Qi Wang, Jianzhe...
BMCBI
2006
146views more  BMCBI 2006»
14 years 11 months ago
GeneTools - application for functional annotation and statistical hypothesis testing
Background: Modern biology has shifted from "one gene" approaches to methods for genomic-scale analysis like microarray technology, which allow simultaneous measurement ...
Vidar Beisvag, Frode K. R. Jünge, Hallgeir Be...
GECCO
2003
Springer
114views Optimization» more  GECCO 2003»
15 years 5 months ago
Learning the Ideal Evaluation Function
Abstract. Designing an adequate fitness function requiressubstantial knowledge of a problem and of features that indicate progress towards a solution. Coevolution takes the human ...
Edwin D. de Jong, Jordan B. Pollack
ICML
2003
IEEE
16 years 16 days ago
Margin Distribution and Learning
Recent theoretical results have shown that improved bounds on generalization error of classifiers can be obtained by explicitly taking the observed margin distribution of the trai...
Ashutosh Garg, Dan Roth
102
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IVC
2007
184views more  IVC 2007»
14 years 11 months ago
Image distance functions for manifold learning
Many natural image sets are samples of a low-dimensional manifold in the space of all possible images. When the image data set is not a linear combination of a small number of bas...
Richard Souvenir, Robert Pless