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» Modeling and predicting pointing errors in two dimensions
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COLT
2000
Springer
14 years 3 hour ago
Model Selection and Error Estimation
We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalizatio...
Peter L. Bartlett, Stéphane Boucheron, G&aa...
ISAAC
2009
Springer
101views Algorithms» more  ISAAC 2009»
14 years 2 months ago
Maintaining Nets and Net Trees under Incremental Motion
The problem of maintaining geometric structures for points in motion has been well studied over the years. Much theoretical work to date has been based on the assumption that point...
Minkyoung Cho, David M. Mount, Eunhui Park
DSD
2007
IEEE
105views Hardware» more  DSD 2007»
14 years 2 months ago
Scaling Analytical Models for Soft Error Rate Estimation Under a Multiple-Fault Environment
With continuing increase in soft error rates, its foreseeable that multiple faults will eventually need to be considered when modeling circuit sensitivity and evaluating faulttole...
Christian J. Hescott, Drew C. Ness, David J. Lilja
ICWN
2003
13 years 9 months ago
A Framework for Evaluating Effects of Channel Prediction Inaccuracy on the Performance of Channel Adaptive Techniques
—Adapting transmission parameters to the future channel state is an appealing approach to improve efficiency in wireless communication. Adaptation requires predicting the chann...
Ana Aguiar, Holger Karl, Adam Wolisz, Horst Miesme...
NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 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