254 search results - page 13 / 51 » Filtered Gaussian Processes for Learning with Large Data-Set... |
NECO
2000
13 years 8 months ago
2000
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
CAS
2007
13 years 8 months ago
2007
Today, with the advances of computer storage and technology, there are huge datasets available, offering an opportunity to extract valuable information. Probabilistic approaches ...
ALT
2003
Springer
14 years 5 months ago
2003
Springer
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
SIGIR
2004
ACM
14 years 1 months ago
2004
ACM
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
IROS
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...