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» Quantile Regression Forests
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KDD
2007
ACM
138views Data Mining» more  KDD 2007»
13 years 11 months ago
High-quantile modeling for customer wallet estimation and other applications
In this paper we discuss the important practical problem of customer wallet estimation, i.e., estimation of potential spending by customers (rather than their expected spending). ...
Claudia Perlich, Saharon Rosset, Richard D. Lawren...
CVPR
2012
IEEE
11 years 7 months ago
Real-time facial feature detection using conditional regression forests
Although facial feature detection from 2D images is a well-studied field, there is a lack of real-time methods that estimate feature points even on low quality images. Here we pr...
Matthias Dantone, Juergen Gall, Gabriele Fanelli, ...
CSSC
2008
110views more  CSSC 2008»
13 years 5 months ago
Nonlinear Quantile Regression Estimation of Longitudinal Data
This paper examines a weighted version of the quantile regression estimator defined by Koenker and Bassett (1978), adjusted to the case of nonlinear longitudinal data. Different w...
Andreas Karlsson
BMCBI
2011
13 years 13 days ago
Identifying hypermethylated CpG islands using a quantile regression model
Background: DNA methylation has been shown to play an important role in the silencing of tumor suppressor genes in various tumor types. In order to have a system-wide understandin...
Shuying Sun, Zhengyi Chen, Pearlly Yan, Yi-Wen Hua...
CSDA
2007
109views more  CSDA 2007»
13 years 5 months ago
Improving the computation of censored quantile regressions
Abstract. Censored quantile regressions (CQR) are a valuable tool in economics and engineering. The computation of estimators is highly complex and the performance of standard meth...
Bernd Fitzenberger, Peter Winker