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» Methods for Random Modularization of Biological Networks
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BIOADIT
2006
Springer
13 years 9 months ago
Resilient Multi-path Routing Based on a Biological Attractor Selection Scheme
In this paper we propose a resilient scheme for multi-path routing using a biologically-inspired attractor selection method. The main advantage of this approach is that it is highl...
Kenji Leibnitz, Naoki Wakamiya, Masayuki Murata
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
14 years 2 months ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel
BMCBI
2010
109views more  BMCBI 2010»
13 years 5 months ago
Functional characterization and topological modularity of molecular interaction networks
Background: Analyzing interaction networks for functional characterization poses significant challenges arising from the noisy, incomplete, and generic nature of both the interact...
Jayesh Pandey, Mehmet Koyutürk, Ananth Grama
IDA
1998
Springer
13 years 5 months ago
Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...
Sylvian R. Ray, William H. Hsu
EAAI
2006
123views more  EAAI 2006»
13 years 5 months ago
Imitation learning with spiking neural networks and real-world devices
This article is about a new approach in robotic learning systems. It provides a method to use a real-world device that operates in real-time, controlled through a simulated recurr...
Harald Burgsteiner