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IDA
2003
Springer
14 years 2 months ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
ESWA
2006
103views more  ESWA 2006»
13 years 9 months ago
Model gene network by semi-fixed Bayesian network
Gene networks describe functional pathways in a given cell or tissue, representing processes such as metabolism, gene expression regulation, and protein or RNA transport. Thus, le...
Tie-Fei Liu, Wing-Kin Sung, Ankush Mittal
RE
2005
Springer
14 years 2 months ago
Do Viewpoints Lead to Better Conceptual Models? An Exploratory Case Study
The use of viewpoints has long been proposed as a technique to structure evolving requirements models. In theory, viewpoints should provide better stakeholder traceability, and th...
Steve M. Easterbrook, Eric S. K. Yu, Jorge Aranda,...
ICIC
2007
Springer
14 years 3 months ago
Edge Detection Based on Spiking Neural Network Model
Inspired by the behaviour of biological receptive fields and the human visual system, a network model based on spiking neurons is proposed to detect edges in a visual image. The st...
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...
WSC
1998
13 years 10 months ago
Informational Macrodynamics: System Modelling and Simulation Methodologies
Informational Macrodynamics (IMD) presents a unified informational systemic approach with common information language for modeling, analysis and optimization of a variety of inter...
Vladimir S. Lerner