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» On the Error Parameter of Dispersers
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BMCBI
2006
110views more  BMCBI 2006»
14 years 11 months ago
Bias in error estimation when using cross-validation for model selection
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
Sudhir Varma, Richard Simon
ISQED
2010
IEEE
128views Hardware» more  ISQED 2010»
15 years 4 months ago
Soft error rate determination for nanoscale sequential logic
We analyze the neutron induced soft error rate (SER) by modeling induced error pulse using two parameters, occurrence frequency and probability density function for the pulse widt...
Fan Wang, Vishwani D. Agrawal
AMC
2005
106views more  AMC 2005»
14 years 11 months ago
The least squares type estimation of the parameters in the power hazard function
The power hazard function is defined by h(t) = atk . In this investigation, we use the least squares type estimation to estimate the parameter a when k is known, the parameter k w...
A. R. Mugdadi
DNA
2004
Springer
132views Bioinformatics» more  DNA 2004»
15 years 5 months ago
Error Free Self-assembly Using Error Prone Tiles
DNA self-assembly is emerging as a key paradigm for nano-technology, nano-computation, and several related disciplines. In nature, DNA self-assembly is often equipped with explicit...
Ho-Lin Chen, Ashish Goel
TROB
2002
118views more  TROB 2002»
14 years 11 months ago
The odometry error of a mobile robot with a synchronous drive system
This paper presents an error modeling of an odometry system for a synchronous-drive system and a possible strategy for evaluating this error. The odometry error is modeled by intro...
Agostino Martinelli