3 papers
cs.LG2026
Semi-Supervised Learning under Spatially Biased Sampling
Bright Wiredu Nuakoh, Francky Fouedjio, Stephen Bradshaw +4
Standard semi-supervised learning (SSL) typically relies on labelled and unlabelled data sharing a common marginal distribution. This assumption is often violated by biased spatial…
stat.ME2014
A Generalized Convolution Model and Estimation for Non-stationary Random Functions
Francky Fouedjio, Nicolas Desassis, Jacques Rivoirard
Standard geostatistical models assume second order stationarity of the underlying Random Function. In some instances, there is little reason to expect the spatial dependence struct…
stat.ME2014
Estimation of Space Deformation Model for Non-stationary Random Functions
Francky Fouedjio, Nicolas Desassis, Thomas Romary
Stationary Random Functions have been successfully applied in geostatistical applications for decades. In some instances, the assumption of a homogeneous spatial dependence structu…