Sciweavers

209 search results - page 3 / 42
» Learning from defect removals
Sort
View
DAGSTUHL
2003
13 years 7 months ago
Removing Some 'A' from AI: Embodied Cultured Networks
We embodied networks of cultured biological neurons in simulation and in robotics. This is a new research paradigm to study learning, memory, and information processing in real tim...
Douglas J. Bakkum, Alexander C. Shkolnik, Guy Ben-...
PICS
2003
13 years 7 months ago
Prediction of Print Defect Perception
This study examines the prediction of print defect perception (banding) of the human visual system (HVS) by combining detection probabilities of contrast components from wavelet a...
Kevin D. Donohue, M. Vijay Venkatesh, Chengwu Cui
SQJ
2002
110views more  SQJ 2002»
13 years 5 months ago
A General Model of Unit Testing Efficacy
Much of software engineering is targeted towards identifying and removing existing defects while preventing the injection of new ones. Defect management is therefore one important ...
Houman Younessi, Panlop Zeephongsekul, Winai Bodhi...
PROFES
2010
Springer
13 years 9 months ago
Regularities in Learning Defect Predictors
Collecting large consistent data sets for real world software projects is problematic. Therefore, we explore how little data are required before the predictor performance plateaus...
Burak Turhan, Ayse Basar Bener, Tim Menzies
VTS
2000
IEEE
114views Hardware» more  VTS 2000»
13 years 10 months ago
Detection of CMOS Defects under Variable Processing Conditions
Transient Signal Analysis is a digital device testing method that is based on the analysis of voltage transients at multiple test points. In this paper, the power supply transient...
Amy Germida, James F. Plusquellic