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TSP
2011
197views more  TSP 2011»
14 years 8 months ago
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, S...
IJCNN
2006
IEEE
15 years 8 months ago
Knowledge Representation and Possible Worlds for Neural Networks
— The semantics of neural networks can be analyzed mathematically as a distributed system of knowledge and as systems of possible worlds expressed in the knowledge. Learning in a...
Michael J. Healy, Thomas P. Caudell
BERTINORO
2005
Springer
15 years 7 months ago
Evolving Fractal Gene Regulatory Networks for Graceful Degradation of Software
Fractal proteins are an evolvable method of mapping genotype to phenotype through a developmental process, where genes are expressed into proteins comprised of subsets of the Mande...
Peter J. Bentley
NCA
1998
IEEE
15 years 1 months ago
A Neural Network Model of a Communication Network with Information Servers
This paper models information flow in a communication network. The network consists of nodes that communicate with each other, and information servers that have a predominantly o...
Philippe De Wilde
86
Voted
CEC
2008
IEEE
15 years 8 months ago
Toward a gene regulatory network model for evolving chemotaxis behavior
— Inspired from bacteria, a gene regulatory network model for signal transduction is presented in this paper. After describing experiments on stabilizing the population size for ...
Neale Samways, Yaochu Jin, Xin Yao, Bernhard Sendh...