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GECCO
2004
Springer
15 years 12 months ago
Shortcomings with Tree-Structured Edge Encodings for Neural Networks
In evolutionary algorithms a common method for encoding neural networks is to use a tree-structured assembly procedure for constructing them. Since node operators have difficulties...
Gregory Hornby
WICON
2008
15 years 8 months ago
Lightweight management of scalable and personalised media in mobile IPTV networks
In the present paper a novel system for scalable and personalised media management and its architecture is presented. The proposed solution is based on the creation of a secure an...
Laura Arnaiz, Lara García, Federico Alvarez...
ICMAS
1998
15 years 7 months ago
Towards Multi-Swarm Problem Solving in Networks
This paper describes how multiple interacting swarms of adaptive mobile agents can be used to solve problems in networks. The paper introduces a new architectural description for ...
Tony White, Bernard Pagurek
ENTCS
2008
109views more  ENTCS 2008»
15 years 6 months ago
Spatial Networks of Hybrid I/O Automata for Modeling Excitable Tissue
We propose a new biological framework, spatial networks of hybrid input/output automata (SNHIOA), for the efficient modeling and simulation of excitable-cell tissue. Within this f...
Ezio Bartocci, Flavio Corradini, Maria Rita Di Ber...
ICDAR
2009
IEEE
16 years 1 months ago
Evaluating Retraining Rules for Semi-Supervised Learning in Neural Network Based Cursive Word Recognition
Training a system to recognize handwritten words is a task that requires a large amount of data with their correct transcription. However, the creation of such a training set, inc...
Volkmar Frinken, Horst Bunke