1900 search results - page 22 / 380 » Gaussian Processes for Machine Learning |
ICANN
2001
Springer
14 years 3 days ago
2001
Springer
JMLR
2010
13 years 2 months ago
2010
COLT
2007
Springer
14 years 1 months ago
2007
Springer
We consider on-line density estimation with the multivariate Gaussian distribution. In each of a sequence of trials, the learner must posit a mean µ and covariance Σ; the learner...
NIPS
2004
13 years 9 months ago
2004
The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show (1) how to appro...
PAMI
2008
13 years 7 months ago
2008
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...