86 search results - page 2 / 18 » Approximation of Gaussian process regression models after tr... |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
This paper investigates using Gaussian Mixture Model (GMM) based vowel duration features for automated assessment of non-native speech. Two different types of models were compared...
IROS
2007
IEEE
13 years 12 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...
JMLR
2010
13 years 12 days ago
2010
We address an approximation method for Gaussian process (GP) regression, where we approximate covariance by a block matrix such that diagonal blocks are calculated exactly while o...
JMLR
2010
13 years 12 days 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...
IROS
2008
IEEE
14 years 1 days ago
2008
IEEE
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...