4981 search results - page 35 / 997 » Dependent Gaussian Processes |
63
Voted
NIPS
2007
14 years 11 months ago
2007
Neural spike trains present challenges to analytical efforts due to their noisy, spiking nature. Many studies of neuroscientific and neural prosthetic importance rely on a smooth...
94
Voted
NIPS
2003
14 years 11 months ago
2003
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
NIPS
2003
14 years 11 months ago
2003
In this article, we present a novel approach to solving the localization problem in cellular networks. The goal is to estimate a mobile user’s position, based on measurements of...
TSP
2008
14 years 9 months ago
2008
We propose Gaussian processes for regression as a novel nonlinear equalizer for digital communications receivers. GPR's main advantage, compared to previous nonlinear estimat...
64
Voted
IJDMB
2011
14 years 4 months ago
2011
: Classification methods are vital for efficient access of knowledge hidden in biomedical publications. Support vector machines (SVMs) are modern non-parametric deterministic clas...