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» Evolving Artificial Neural Networks that Develop in Time
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AI
1998
Springer
15 years 4 months ago
Temporally Invariant Junction Tree for Inference in Dynamic Bayesian Network
Abstract. Dynamic Bayesian networks (DBNs) extend Bayesian networks from static domains to dynamic domains. The only known generic method for exact inference in DBNs is based on dy...
Yang Xiang
ICTAI
2008
IEEE
15 years 6 months ago
The Performance of Approximating Ordinary Differential Equations by Neural Nets
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
Josef Fojdl, Rüdiger W. Brause
IEAAIE
2009
Springer
15 years 6 months ago
Incremental Mining of Ontological Association Rules in Evolving Environments
The process of knowledge discovery from databases is a knowledge intensive, highly user-oriented practice, thus has recently heralded the development of ontology-incorporated data ...
Ming-Cheng Tseng, Wen-Yang Lin
WISES
2003
15 years 1 months ago
A Simulation Architecture for Time-Triggered Transducer Networks
— Steadily growing microcontroller capabilities at an ever decreasing cost per operation encourage the development of more extensive and smarter applications in the domain of emb...
Martin Schlager
ICANN
1997
Springer
15 years 4 months ago
Real-Time Analog VLSI Sensors for 2-D Direction of Motion
Optical ow elds are a primary source of information about the visual scene in technical and biological systems. In a step towards a system for real time scene analysis we have deve...
Rainer A. Deutschmann, Charles M. Higgins, Christo...