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IDEAL
2004
Springer
14 years 2 months ago
Kernel Density Construction Using Orthogonal Forward Regression
Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
Sheng Chen, Xia Hong, Chris J. Harris
IPSN
2005
Springer
14 years 2 months ago
QoM and lifetime-constrained random deployment of sensor networks for minimum energy consumption
— We consider the problem of energy efficient random deployment of sensor network. Our goal is to find the sensor node density, or alternatively, the energy resource density at e...
Morteza Maleki, Massoud Pedram
AAAI
2010
13 years 8 months ago
Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships
Many methods for quantitative structure-activity relationships (QSARs) deliver point estimates only, without quantifying the uncertainty inherent in the prediction. One way to qua...
Fabian Buchwald, Tobias Girschick, Eibe Frank, Ste...
CSDA
2010
122views more  CSDA 2010»
13 years 8 months ago
Nonparametric density estimation for positive time series
The Gaussian kernel density estimator is known to have substantial problems for bounded random variables with high density at the boundaries. For i.i.d. data several solutions hav...
Taoufik Bouezmarni, Jeroen V. K. Rombouts
ACISICIS
2010
IEEE
13 years 9 days ago
A Study on Defect Density of Open Source Software
— Open source software (OSS) development is considered an effective approach to ensuring acceptable levels of software quality. One facet of quality improvement involves the dete...
Cobra Rahmani, Deepak Khazanchi