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» Performance modeling using Monte Carlo simulation
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ICML
2007
IEEE
16 years 4 months ago
Most likely heteroscedastic Gaussian process regression
This paper presents a novel Gaussian process (GP) approach to regression with inputdependent noise rates. We follow Goldberg et al.'s approach and model the noise variance us...
Kristian Kersting, Christian Plagemann, Patrick Pf...
CORR
2010
Springer
109views Education» more  CORR 2010»
15 years 4 months ago
Towards the Development of a Simulator for Investigating the Impact of People Management Practices on Retail Performance
Models to understand the impact of management practices on retail performance are often simplistic and assume low levels of noise and linearity. Of course, in real-life, retail op...
Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Chri...
BMCBI
2006
142views more  BMCBI 2006»
15 years 4 months ago
PedGenie: an analysis approach for genetic association testing in extended pedigrees and genealogies of arbitrary size
Background: We present a general approach to perform association analyses in pedigrees of arbitrary size and structure, which also allows for a mixture of pedigree members and ind...
Kristina Allen-Brady, Jathine Wong, Nicola J. Camp
CSDA
2006
169views more  CSDA 2006»
15 years 4 months ago
Generalized structured additive regression based on Bayesian P-splines
Generalized additive models (GAM) for modelling nonlinear effects of continuous covariates are now well established tools for the applied statistician. In this paper we develop Ba...
Andreas Brezger, Stefan Lang
ISBI
2004
IEEE
16 years 4 months ago
Multi-Channel Registration of Diffusion Tensor Images Using Directional Information
The problem of registering Diffusion Tensor (DT) images is considered. We describe a novel intensity based registration method capable of performing affine and nonlinear registrat...
Gustavo K. Rohde, Sinisa Pajevic, Carlo Pierpaoli