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» Modelling of Complex Supply Networks
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AAAI
2008
15 years 6 months ago
Hybrid Markov Logic Networks
Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent fram...
Jue Wang, Pedro Domingos
TMC
2012
13 years 6 months ago
A Statistical Mechanics-Based Framework to Analyze Ad Hoc Networks with Random Access
—Characterizing the performance of ad hoc networks is one of the most intricate open challenges; conventional ideas based on information-theoretic techniques and inequalities hav...
Sunil Srinivasa, Martin Haenggi
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 7 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
WIOPT
2010
IEEE
15 years 1 months ago
Energy efficient scheduling with power control for wireless networks
Scheduling of transmissions is one of the most fundamental problems in the context of wireless networks. In this article, we consider the problem of computing power efficient sched...
Bastian Katz, Markus Völker, Dorothea Wagner
CORR
2011
Springer
202views Education» more  CORR 2011»
14 years 11 months ago
High Degree Vertices, Eigenvalues and Diameter of Random Apollonian Networks
ABSTRACT. Upon the discovery of power laws [8, 16, 30], a large body of work in complex network analysis has focused on developing generative models of graphs which mimick real-wor...
Alan M. Frieze, Charalampos E. Tsourakakis