136 search results - page 9 / 28 » Gaussian process for nonstationary time series prediction |
KDD
2009
ACM
14 years 9 months ago
2009
ACM
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
GCB
2009
Springer
14 years 3 months ago
2009
Springer
: A wealth of time series of microarray measurements have become available over recent years. Several two-sample tests for detecting differential gene expression in these time seri...
ECML
2006
Springer
14 years 9 days ago
2006
Springer
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
PAMI
2008
13 years 8 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...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...