3038 search results - page 151 / 608 » High-Speed Function Approximation |
142
Voted
MP
2006
15 years 5 months ago
2006
The vast size of real world stochastic programming instances requires sampling to make them practically solvable. In this paper we extend the understanding of how sampling affects ...
272
Voted
Book
"From an applications viewpoint, the main reason to study the subject of these notes is to help deal with the complexity of describing random, time-varying functions. A random...
164
Voted
ECML
2004
Springer
15 years 10 months ago
2004
Springer
Although tabular reinforcement learning (RL) methods have been proved to converge to an optimal policy, the combination of particular conventional reinforcement learning techniques...
172
Voted
TNN
2008
15 years 5 months ago
2008
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
133
Voted
JMLR
2010
14 years 12 months ago
2010
We present a new sparse Gaussian Process (GP) model for regression. The key novel idea is to sparsify the spectral representation of the GP. This leads to a simple, practical algo...