1900 search results - page 2 / 380 » Gaussian Processes for Machine Learning |
JMLR
2010
13 years 10 days ago
2010
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and prediction. GPs are specified by mean and covariance functions; we offer a library ...
AC
2003
Springer
13 years 10 months ago
2003
Springer
DSMML
2004
Springer
13 years 11 months ago
2004
Springer
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 how to approximat...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...