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» VIF Regression: A Fast Regression Algorithm for Large Data
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CSDA
2007
127views more  CSDA 2007»
13 years 7 months ago
Computing the least quartile difference estimator in the plane
A common problem in linear regression is that largely aberrant values can strongly influence the results. The least quartile difference (LQD) regression estimator is highly robus...
Thorsten Bernholt, Robin Nunkesser, Karen Schettli...
UAI
2008
13 years 9 months ago
Feature Selection via Block-Regularized Regression
Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
Seyoung Kim, Eric P. Xing
ICASSP
2011
IEEE
12 years 11 months ago
Score fusion and calibration in multiple language detectors with large performance variation
In a large-scale language detection task, performance variation found between different component systems and different target languages has an adverse effect to the pooled error ...
Raymond W. M. Ng, Cheung-Chi Leung, Tan Lee, Bin M...
ICML
2006
IEEE
14 years 8 months ago
Efficient co-regularised least squares regression
In many applications, unlabelled examples are inexpensive and easy to obtain. Semisupervised approaches try to utilise such examples to reduce the predictive error. In this paper,...
Stefan Wrobel, Thomas Gärtner, Tobias Scheffe...
ISSRE
2000
IEEE
13 years 12 months ago
Evaluation of Regressive Methods for Automated Generation of Test Trajectories
Automated generation of test cases is a prerequisite for fast testing. Whereas the research has addressed the creation of individual test points, test trajectoiy generation has at...
Brian J. Taylor, Bojan Cukic