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» Methods and Metrics for Selective Regression Testing
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TIP
2010
161views more  TIP 2010»
14 years 6 months ago
Automatic Parameter Selection for Denoising Algorithms Using a No-Reference Measure of Image Content
Across the field of inverse problems in image and video processing, nearly all algorithms have various parameters which need to be set in order to yield good results. In practice, ...
Xiang Zhu, Peyman Milanfar
METRICS
2003
IEEE
15 years 4 months ago
Using Prior-Phase Effort Records for Re-estimation During Software Projects
Estimating the effort required for software process activities continues to present difficulties for software engineers, particularly given the uncertainty and subjectivity associ...
Stephen G. MacDonell, Martin J. Shepperd
BMCBI
2006
142views more  BMCBI 2006»
14 years 11 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
AIED
2007
Springer
15 years 3 months ago
Optimizing Student Models for Causality
Complex student models often include key parameters critical to their behavior and effectiveness. For example, one meta-cognitive model of student help-seeking in intelligent tutor...
Benjamin Shih, Kenneth R. Koedinger, Richard Schei...
ICPR
2006
IEEE
16 years 22 days ago
Statistical Model for the Classification of the Wavelet Transforms of T-ray Pulses
This study applies Auto Regressive (AR) and Auto Regressive Moving Average (ARMA) modeling to wavelet decomposed terahertz pulsed signals to assist biomedical diagnosis and mail/p...
Bradley Ferguson, Brian Wai-Him Ng, Derek Abbott, ...