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ESANN
2000
13 years 9 months ago
Confidence estimation methods for neural networks : a practical comparison
Feed-forward neural networks (Multi-Layered Perceptrons) are used widely in real-world regression or classification tasks. A reliable and practical measure of prediction "conf...
Georgios Papadopoulos, Peter J. Edwards, Alan F. M...
QOSA
2007
Springer
14 years 1 months ago
A Bayesian Model for Predicting Reliability of Software Systems at the Architectural Level
: Modern society relies heavily on complex software systems for everyday activities. Dependability of these systems thus has become a critical feature that determines which product...
Roshanak Roshandel, Nenad Medvidovic, Leana Golubc...
AMOST
2005
ACM
13 years 9 months ago
Early estimation of defect density using an in-process Haskell metrics model
Early estimation of defect density of a product is an important step towards the remediation of the problem associated with affordably guiding corrective actions in the software d...
Mark Sherriff, Nachiappan Nagappan, Laurie A. Will...
MJ
2006
71views more  MJ 2006»
13 years 7 months ago
Reliability analysis of the fine pitch connection using anisotropic conductive film (ACF)
A novel method (the V-shaped curve) is presented to predict the failure probability of anisotropic conductive film (ACF) in IC/substrate assemblies. The Poisson function is used t...
Chao-Ming Lin, Win-Jin Chang, Te-Hua Fang
HPCA
2007
IEEE
14 years 8 months ago
Illustrative Design Space Studies with Microarchitectural Regression Models
We apply a scalable approach for practical, comprehensive design space evaluation and optimization. This approach combines design space sampling and statistical inference to ident...
Benjamin C. Lee, David M. Brooks