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» Quantile Sensitivity Estimation
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CSDA
2007
127views more  CSDA 2007»
14 years 11 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...
NN
2006
Springer
163views Neural Networks» more  NN 2006»
14 years 11 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
CDC
2009
IEEE
122views Control Systems» more  CDC 2009»
15 years 3 months ago
Estimation of arrival-departure capacity tradeoffs in multi-airport systems
Abstract— The accurate estimation of airport capacity is critical for the efficient planning of landing and takeoff operations, and the mitigation of congestion-induced delays. ...
Varun Ramanujam, Hamsa Balakrishnan
77
Voted
ECML
2007
Springer
15 years 5 months ago
Neighborhood-Based Local Sensitivity
Abstract. We introduce a nonparametric model for sensitivity estimation which relies on generating points similar to the prediction point using its k nearest neighbors. Unlike most...
Paul N. Bennett
97
Voted
ECCV
2002
Springer
16 years 29 days ago
Sensitivity of Calibration to Principal Point Position
A common practice when carrying out self-calibration of a camera from one or more views is to start with a guess at the principal point. The general belief is that inaccuracies in...
Richard I. Hartley, Robert Kaucic