367 search results - page 16 / 74 » Robust Induction of Process Models from Time-Series Data |
WSC
1997
13 years 8 months ago
1997
Given a stationary simulation process with unknown mean µ , interest frequently lies in, and various methods exist for, developing estimates and confidence intervals for µ . Typ...
INFOCOM
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper presents a novel approach to predict the Internet end-to-end delay using multiple-model (MM) methods. The basic idea of the MM method is to assume the system dynamics c...
COLT
1992
Springer
13 years 11 months ago
1992
Springer
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
NN
2007
Springer
13 years 7 months ago
2007
Springer
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
BMVC
2010
13 years 5 months ago
2010
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...