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» A Boosting Algorithm for Regression
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ICMLA
2008
15 years 5 months ago
Predicting Algorithm Accuracy with a Small Set of Effective Meta-Features
We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
Jun Won Lee, Christophe G. Giraud-Carrier
ICSE
2007
IEEE-ACM
16 years 4 months ago
Regression Test Selection for AspectJ Software
As aspect-oriented software development gains popularity, there is growing interest in using aspects to implement cross-cutting concerns in object-oriented systems. When aspect-or...
Guoqing Xu, Atanas Rountev
KES
2005
Springer
15 years 9 months ago
A SVM Regression Based Approach to Filling in Missing Values
In KDD procedure, to fill in missing data typically requires a very large investment of time and energy - often 80% to 90% of a data analysis project is spent in making the data re...
Honghai Feng, Chen Guoshun, Yin Cheng, Bingru Yang...
ESEM
2008
ACM
15 years 5 months ago
A constrained regression technique for cocomo calibration
Building cost estimation models is often considered a search problem in which the solver should return an optimal solution satisfying an objective function. This solution also nee...
Vu Nguyen, Bert Steece, Barry W. Boehm
CIMAGING
2008
172views Hardware» more  CIMAGING 2008»
15 years 5 months ago
A generalization of non-local means via kernel regression
The Non-Local Means (NLM) method of denoising has received considerable attention in the image processing community due to its performance, despite its simplicity. In this paper, ...
Priyam Chatterjee, Peyman Milanfar