75 search results - page 9 / 15 » Missing Value Estimation for Time Series Microarray Data Usi... |
CSDA
2007
13 years 8 months ago
2007
This article proposes a Bayesian infinite mixture model for the estimation of the conditional density of an ergodic time series. A nonparametric prior on the conditional density ...
ICANN
2009
Springer
14 years 1 months ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
AUTOMATICA
2005
13 years 8 months ago
2005
In this paper we present a new method of interval fuzzy model identification. The method combines a fuzzy identification methodology with some ideas from linear programming theory...
BMCBI
2006
13 years 8 months ago
2006
Background: An alternative to standard approaches to uncover biologically meaningful structures in micro array data is to treat the data as a blind source separation (BSS) problem...
CEC
2010
IEEE
13 years 3 months ago
2010
IEEE
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...