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TMC
2010
109views more  TMC 2010»
15 years 6 months ago
Uncertainty Modeling and Reduction in MANETs
—Evaluating and quantifying trust stimulates collaboration in mobile ad hoc networks (MANETs). Many existing reputation systems sharply divide the trust value into right or wrong...
Feng Li, Jie Wu
MICCAI
2008
Springer
16 years 8 months ago
3D Brain Segmentation Using Active Appearance Models and Local Regressors
We describe an efficient and accurate method for segmenting sets of subcortical structures in 3D MR images of the brain. We first find the approximate position of all the structure...
Kolawole O. Babalola, Timothy F. Cootes, Carole ...
DAC
2002
ACM
16 years 8 months ago
A physical model for the transient response of capacitively loaded distributed rlc interconnects
Rapid approximation of the transient response of high-speed global interconnects is needed to estimate the time delay, crosstalk, and overshoot in a GSI multilevel wiring network....
Raguraman Venkatesan, Jeffrey A. Davis, James D. M...
COMMA
2006
15 years 9 months ago
The Carneades Argumentation Framework - Using Presumptions and Exceptions to Model Critical Questions
Abstract. In 2005, Gordon and Walton presented initial ideas for a computational model of defeasible argument [12, 26], which builds on and elaborates Walton's theory of argum...
Thomas F. Gordon, Douglas Walton
NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 7 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine