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» Agent network topology and complexity
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BMCBI
2010
179views more  BMCBI 2010»
14 years 9 months ago
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
GIS
2010
ACM
14 years 8 months ago
Decentralized querying of topological relations between regions without using localization
This paper proposes an efficient, decentralized algorithm for determining the topological relationship between two regions monitored by a geosensor network. Many centralized algo...
Matt Duckham, Myeong Hun Jeong, Sanjiang Li, Joche...
INFOCOM
2007
IEEE
15 years 4 months ago
Low-Complexity Distributed Scheduling Algorithms for Wireless Networks
— We consider the problem of distributed scheduling in wireless networks. We present two different algorithms whose performance is arbitrarily close to that of maximal schedules,...
Abhinav Gupta, Xiaojun Lin, R. Srikant
HIS
2008
14 years 11 months ago
Neural Plasticity and Minimal Topologies for Reward-Based Learning
Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...
Andrea Soltoggio
AMC
2008
78views more  AMC 2008»
14 years 9 months ago
Information processing in complex networks: Graph entropy and information functionals
This paper introduces a general framework for defining the entropy of a graph. Our definition is based on a local information graph and on information functionals derived from the...
Matthias Dehmer