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» Quantile and histogram estimation
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ICDM
2009
IEEE
163views Data Mining» more  ICDM 2009»
14 years 13 days ago
Kernel Conditional Quantile Estimation via Reduction Revisited
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
Novi Quadrianto, Kristian Kersting, Mark D. Reid, ...
KDD
2007
ACM
138views Data Mining» more  KDD 2007»
13 years 12 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...
EDBT
2011
ACM
281views Database» more  EDBT 2011»
12 years 9 months ago
Fast and accurate computation of equi-depth histograms over data streams
Equi-depth histograms represent a fundamental synopsis widely used in both database and data stream applications, as they provide the cornerstone of many techniques such as query ...
Hamid Mousavi, Carlo Zaniolo
MA
2010
Springer
131views Communications» more  MA 2010»
13 years 4 months ago
Functional nonparametric estimation of conditional extreme quantiles
Abstract − We address the estimation of quantiles from heavy-tailed distributions when functional covariate information is available and in the case where the order of the quanti...
Laurent Gardes, Stéphane Girard, Alexandre ...
ACML
2009
Springer
14 years 12 days ago
Conditional Density Estimation with Class Probability Estimators
Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estim...
Eibe Frank, Remco R. Bouckaert