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131
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BMCBI
2006
147views more  BMCBI 2006»
15 years 19 days ago
Grouping Gene Ontology terms to improve the assessment of gene set enrichment in microarray data
Background: Gene Ontology (GO) terms are often used to assess the results of microarray experiments. The most common way to do this is to perform Fisher's exact tests to find...
Alex Lewin, Ian C. Grieve
COCOA
2010
Springer
14 years 10 months ago
Bounds for Nonadaptive Group Tests to Estimate the Amount of Defectives
The classical and well-studied group testing problem is to find d defectives in a set of n elements by group tests, which tell us for any chosen subset whether it contains defectiv...
Peter Damaschke, Azam Sheikh Muhammad
123
Voted
CCS
2008
ACM
15 years 2 months ago
Securing group key exchange against strong corruptions
When users run a group key exchange (GKE) protocol, they usually extract the key from some auxiliary (ephemeral) secret information generated during the execution. Strong corrupti...
Emmanuel Bresson, Mark Manulis
96
Voted
ML
1998
ACM
101views Machine Learning» more  ML 1998»
15 years 7 days ago
Elevator Group Control Using Multiple Reinforcement Learning Agents
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
Robert H. Crites, Andrew G. Barto
115
Voted
ICISC
2009
169views Cryptology» more  ICISC 2009»
14 years 10 months ago
Generic One Round Group Key Exchange in the Standard Model
Minimizing complexity of group key exchange (GKE) protocols is an important milestone towards their practical deployment. An interesting approach to achieve this goal is to simplif...
M. Choudary Gorantla, Colin Boyd, Juan Manuel Gonz...