192 search results - page 8 / 39 » Bayesian time series classification |
CSDA
2004
13 years 7 months ago
2004
In this paper, the problem of time series prediction is studied. A Bayesian procedure based on Gaussian process models using a nonstationary covariance function is proposed. Exper...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Boosting is a remarkably simple and flexible classification algorithm with widespread applications in computer vision. However, the application of boosting to nonEuclidean, infini...
ICIC
2009
Springer
14 years 2 months ago
2009
Springer
In this paper, we present an application of neural networks in the renewable energy domain. We have developed a methodology for the daily prediction of global solar radiation on a ...
EUSFLAT
2009
13 years 5 months ago
2009
This article deals with the recognition of recurring multivariate time series patterns modelled sample-point-wise by parametric fuzzy sets. An efficient classification-based approa...
TCSB
2008
13 years 7 months ago
2008
Clustering gene expression data given in terms of time-series is a challenging problem that imposes its own particular constraints, namely exchanging two or more time points is not...