15 search results - page 2 / 3 » Estimating Variance Under Interval and Fuzzy Uncertainty: Ca... |
ICCAD
2006
IEEE
14 years 2 months ago
2006
IEEE
Reliable prediction of parametric yield for a specific design is difficult; a significant reason is the reliance of the yield estimation methods on the hard-to-measure distributio...
BMCBI
2006
13 years 5 months ago
2006
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
NN
2006
Springer
13 years 5 months ago
2006
Springer
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...
ACML
2009
Springer
13 years 11 months ago
2009
Springer
Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estim...
DAC
2006
ACM
14 years 6 months ago
2006
ACM
Existing approaches to timing analysis under uncertainty are based on restrictive assumptions. Statistical STA techniques assume that the full probabilistic distribution of parame...