509 search results - page 27 / 102 » Dynamic Modeling in Inductive Inference |
AI
2011
Springer
13 years 3 months ago
2011
Springer
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
BIOCOMP
2008
13 years 9 months ago
2008
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
IROS
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract— This paper presents a new hierarchical segmentation of the observed driving behavioral data based on the levels of abstraction of the underlying dynamics. By synthesizi...
ISIPTA
2003
IEEE
14 years 1 months ago
2003
IEEE
Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...