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...
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...
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
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...
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...