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» Sampling of information goods
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90
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SIGGRAPH
2000
ACM
15 years 5 months ago
Sampling plausible solutions to multi-body constraint problems
Traditional collision intensive multi-body simulations are difficult to control due to extreme sensitivity to initial conditions or model parameters. Furthermore, there may be mu...
Stephen Chenney, David A. Forsyth
107
Voted
BMCBI
2010
124views more  BMCBI 2010»
15 years 22 days ago
Estimating time since infection in early homogeneous HIV-1 samples using a poisson model
Background: The occurrence of a genetic bottleneck in HIV sexual or mother-to-infant transmission has been well documented. This results in a majority of new infections being homo...
Elena E. Giorgi, Bob Funkhouser, Gayathri Athreya,...
93
Voted
BMCBI
2006
119views more  BMCBI 2006»
15 years 20 days ago
Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip stu
Background: The choice of probe set algorithms for expression summary in a GeneChip study has a great impact on subsequent gene expression data analysis. Spiked-in cRNAs with know...
Zihua Hu, Gail R. Willsky
61
Voted
ECCV
2006
Springer
16 years 2 months ago
A Unifying Framework for Mutual Information Methods for Use in Non-linear Optimisation
Abstract. Many variants of MI exist in the literature. These vary primarily in how the joint histogram is populated. This paper places the four main variants of MI: Standard sampli...
Nicholas Dowson, Richard Bowden
60
Voted
SIGIR
2009
ACM
15 years 7 months ago
On the relative age of spam and ham training samples for email filtering
Email spam filters are commonly trained on a sample of spam and ham (non-spam) messages. We investigate the effect on filter performance of using samples of spam and ham messag...
Gordon V. Cormack, Jose-Marcio Martins da Cruz