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» Complexities for generalized models of self-assembly
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BC
2008
72views more  BC 2008»
15 years 6 months ago
Spike-train spectra and network response functions for non-linear integrate-and-fire neurons
Reduced models have long been used as a tool for the analysis of the complex activity taking place in neurons and their coupled networks. Recent advanced in experimental and theore...
Magnus J. E. Richardson
ATMOS
2007
177views Optimization» more  ATMOS 2007»
15 years 8 months ago
Approximate dynamic programming for rail operations
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
Warren B. Powell, Belgacem Bouzaïene-Ayari
BMCBI
2008
107views more  BMCBI 2008»
15 years 6 months ago
Multi-agent systems in epidemiology: a first step for computational biology in the study of vector-borne disease transmission
Background: Computational biology is often associated with genetic or genomic studies only. However, thanks to the increase of computational resources, computational models are ap...
Benjamin Roche, Jean-François Guégan...
AAMAS
2005
Springer
15 years 6 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger
PODC
2010
ACM
15 years 8 months ago
Brief announcement: revisiting the power-law degree distribution for social graph analysis
The study of complex networks led to the belief that the connectivity of network nodes generally follows a Power-law distribution. In this work, we show that modeling large-scale ...
Alessandra Sala, Haitao Zheng, Ben Y. Zhao, Sabrin...