2190 search results - page 122 / 438 » Mixtures of Gaussian Processes |
147
Voted
ECML
2006
Springer
15 years 8 months ago
2006
Springer
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
112
click to vote
AUSAI
2008
Springer
15 years 6 months ago
2008
Springer
The task of finding the optimum of some function f(x) is commonly accomplished by generating and testing sample solutions iteratively, choosing each new sample x heuristically on t...
128
click to vote
NIPS
2007
15 years 6 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...
148
Voted
NIPS
2003
15 years 6 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...
127
Voted
NIPS
2003
15 years 6 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...