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115
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BMCBI
2006
154views more  BMCBI 2006»
15 years 2 months ago
An improved procedure for gene selection from microarray experiments using false discovery rate criterion
Background: A large number of genes usually show differential expressions in a microarray experiment with two types of tissues, and the p-values of a proper statistical test are o...
James J. Yang, Mark C. K. Yang
124
Voted
BMCBI
2006
119views more  BMCBI 2006»
15 years 2 months ago
Evaluation of microarray data normalization procedures using spike-in experiments
Background: Recently, a large number of methods for the analysis of microarray data have been proposed but there are few comparisons of their relative performances. By using so-ca...
Patrik Rydén, Henrik Andersson, Mattias Lan...
155
Voted
CI
2005
106views more  CI 2005»
15 years 2 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
117
Voted
CSFW
2003
IEEE
15 years 7 months ago
A Procedure for Verifying Security Against Type Confusion Attacks
A type confusion attack is one in which a principal accepts data of one type as data of another. Although it has been shown by Heather et al. that there are simple formatting conv...
Catherine Meadows
131
Voted
AAAI
2008
15 years 4 months ago
A Fast Data Collection and Augmentation Procedure for Object Recognition
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng