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» An integrative approach to modeling biological networks
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IJCNN
2007
IEEE
16 years 15 days ago
Theta Neuron Networks: Robustness to Noise in Embedded Applications
- In this paper, we train a one-layer Theta Neuron Network (TNN) to perform a Braitenberg obstacle avoidance algorithm on a Khepera robot. The Theta neuron model is more biological...
Sam McKennoch, Preethi Sundaradevan, Linda G. Bush...
BMVC
2010
15 years 4 months ago
Image Topic Discovery with Saliency Detection
This work proposes a biologically inspired approach to integrate latent topic model with saliency detection. Firstly, a saliency detection algorithm is presented to discriminate s...
Zhidong Li, Yang Wang, Jing Chen, Jie Xu, John Lai...
ODR
2008
15 years 7 months ago
Re-Consider: The Integration of Online Dispute Resolution and Decision Support Systems
Current approaches for the design of Online Dispute Resolution (ODR) systems involve the replication of Alternative Dispute Resolution practices such as mediation and negotiation. ...
Nial Muecke, Andrew Stranieri, Charlynn Miller
AIIA
2007
Springer
16 years 11 days ago
Evolving Complex Neural Networks
Abstract. Complex networks like the scale-free model proposed by BarabasiAlbert are observed in many biological systems and the application of this topology to artificial neural ne...
Mauro Annunziato, Ilaria Bertini, Matteo De Felice...
QEST
2007
IEEE
16 years 14 days ago
Probabilistic Model Checking Modulo Theories
— Probabilistic models are widely used to analyze embedded, networked, and more recently biological systems. Existing numerical analysis techniques are limited to finitestate mo...
Björn Wachter, Lijun Zhang, Holger Hermanns