Sciweavers

587 search results - page 1 / 118
» Information Consistency of Nonparametric Gaussian Process Me...
Sort
View
TIT
2008
63views more  TIT 2008»
13 years 4 months ago
Information Consistency of Nonparametric Gaussian Process Methods
Matthias W. Seeger, Sham M. Kakade, Dean P. Foster
ESSMAC
2003
Springer
13 years 10 months ago
Filtered Gaussian Processes for Learning with Large Data-Sets
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
Jian Qing Shi, Roderick Murray-Smith, D. M. Titter...
ICONIP
2009
13 years 2 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
ICML
2009
IEEE
14 years 5 months ago
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
Ryan Prescott Adams, Iain Murray, David J. C. MacK...
SIGIR
2004
ACM
13 years 10 months ago
A nonparametric hierarchical bayesian framework for information filtering
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
Kai Yu, Volker Tresp, Shipeng Yu