78 search results - page 11 / 16 » Smooth Bayesian Kernel Machines |
AUTOMATICA
2010
13 years 8 months ago
2010
This paper describes a new kernel-based approach for linear system identification of stable systems. We model the impulse response as the realization of a Gaussian process whose s...
CSDA
2004
13 years 8 months ago
2004
In geographical epidemiology it is often required to produce a map of the risk of disease over a study region, a disease map. This paper reviews a variety of approaches to produce...
JAIR
2008
13 years 8 months ago
2008
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
SCALESPACE
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Partial Differential equations (PDE), wavelets-based methods and neighborhood filters were proposed as locally adaptive machines for noise removal. Recently, Buades, Col...