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» Modeling Dependencies in Stochastic Simulation Inputs
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SAB
2004
Springer
198views Optimization» more  SAB 2004»
14 years 3 months ago
A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems
Abstract. In this paper, we review methods used for macroscopic modeling and analyzing collective behavior of swarm robotic systems. Although the behavior of an individual robot in...
Kristina Lerman, Alcherio Martinoli, Aram Galstyan
BMCBI
2010
104views more  BMCBI 2010»
13 years 9 months ago
Formal reasoning on qualitative models of coinfection of HIV and Tuberculosis and HAART therapy
Background: Several diseases, many of which nowadays pandemic, consist of multifactorial pathologies. Paradigmatic examples come from the immune response to pathogens, in which ca...
Anil Sorathiya, Andrea Bracciali, Pietro Liò...
CORR
2010
Springer
172views Education» more  CORR 2010»
13 years 9 months ago
Seeing Through Black Boxes : Tracking Transactions through Queues under Monitoring Resource Constraints
The problem of optimal allocation of monitoring resources for tracking transactions progressing through a distributed system, modeled as a queueing network, is considered. Two for...
Animashree Anandkumar, Ting He, Chatschik Bisdikia...
MEMOCODE
2008
IEEE
14 years 4 months ago
Estimating the Performance of Cache Replacement Policies
—Caches are commonly employed to hide the latency gap between memory and the CPU by exploiting locality in memory accesses. The cache performance strongly influences a system’...
Daniel Grund, Jan Reineke
SYNASC
2005
IEEE
97views Algorithms» more  SYNASC 2005»
14 years 3 months ago
A Reinforcement Learning Algorithm for Spiking Neural Networks
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
Razvan V. Florian