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» Leveraging for Regression
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RECOMB
2006
Springer
14 years 5 months ago
Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction
We present a model for predicting HLA class I restricted CTL epitopes. In contrast to almost all other work in this area, we train a single model on epitopes from all HLA alleles a...
David Heckerman, Carl Myers Kadie, Jennifer Listga...
ICSM
2007
IEEE
13 years 11 months ago
Re-computing Coverage Information to Assist Regression Testing
This paper presents a technique that leverages an existing regression test-selection algorithm to compute accurate, updated coverage data on a version of the software, Pi+1, witho...
Pavan Kumar Chittimalli, Mary Jean Harrold
CSDA
2007
152views more  CSDA 2007»
13 years 5 months ago
Robust variable selection using least angle regression and elemental set sampling
In this paper we address the problem of selecting variables or features in a regression model in the presence of both additive (vertical) and leverage outliers. Since variable sel...
Lauren McCann, Roy E. Welsch
CSDA
2006
84views more  CSDA 2006»
13 years 5 months ago
Robust weighted LAD regression
The least squares linear regression estimator is well-known to be highly sensitive to unusual observations in the data, and as a result many more robust estimators have been propo...
Avi Giloni, Jeffrey S. Simonoff, Bhaskar Sengupta
IPMI
2007
Springer
14 years 6 months ago
Shape Regression Machine
Abstract. We present a machine learning approach called shape regression machine (SRM) to segmenting in real time an anatomic structure that manifests a deformable shape in a medic...
Shaohua Kevin Zhou, Dorin Comaniciu