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CSDA
2007
108views more  CSDA 2007»
13 years 8 months ago
Diagnostics for functional regression via residual processes
We develop regression diagnostics for functional regression models which relate a functional response to predictor variables that can be multivariate vectors or random functions. ...
Jeng-Min Chiou, Hans-Georg Müller
ISBI
2011
IEEE
13 years 11 days ago
Boosting power to detect genetic associations in imaging using multi-locus, genome-wide scans and ridge regression
Most algorithms used for imaging genetics examine statistical effects of each individual genetic variant, one at a time. We developed a new approach, based on ridge regression, to...
Omid Kohannim, Derrek P. Hibar, Jason L. Stein, Ne...
TIP
2008
154views more  TIP 2008»
13 years 8 months ago
Adaptive Local Linear Regression With Application to Printer Color Management
Abstract--Local learning methods, such as local linear regression and nearest neighbor classifiers, base estimates on nearby training samples, neighbors. Usually, the number of nei...
Maya R. Gupta, Eric K. Garcia, E. Chin
ICML
2010
IEEE
13 years 9 months ago
Boosting for Regression Transfer
The goal of transfer learning is to improve the learning of a new target concept given knowledge of related source concept(s). We introduce the first boosting-based algorithms for...
David Pardoe, Peter Stone
CSDA
2006
71views more  CSDA 2006»
13 years 8 months ago
Computation of Huber's M-estimates for a block-angular regression problem
Huber's M-estimation technique is applied to a block-angular regression problem, which may arise from some applications. A recursive, modified Newton approach to computing th...
Xiao-Wen Chang