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GECCO
2005
Springer
117views Optimization» more  GECCO 2005»
15 years 3 months ago
A study of evolutionary robustness in stochastically tiled polyominos
Given an evolutionary optimization problem with many possible genotypes for each phenotype this study investigates if the evolved genes for a given phenotype are more robust to po...
Justin Schonfeld, Daniel A. Ashlock
DEBS
2010
ACM
15 years 1 months ago
Stochastic performance analysis and capacity planning of publish/subscribe systems
Publish/subscribe systems are used increasingly often as a communication mechanism in loosely-coupled distributed applications. With their gradual adoption in mission critical are...
Arnd Schröter, Gero Mühl, Samuel Kounev,...
SUTC
2010
IEEE
15 years 1 months ago
A Log-Ratio Information Measure for Stochastic Sensor Management
—In distributed sensor networks, computational and energy resources are in general limited. Therefore, an intelligent selection of sensors for measurements is of great importance...
Daniel Lyons, Benjamin Noack, Uwe D. Hanebeck
COORDINATION
2009
Springer
15 years 1 months ago
From Coordination to Stochastic Models of QoS
Abstract. Reo is a channel-based coordination model whose operational semantics is given by Constraint Automata (CA). Quantitative Constraint Automata extend CA (and hence, Reo) wi...
Farhad Arbab, Tom Chothia, Rob van der Mei, Sun Me...
TNN
2008
138views more  TNN 2008»
14 years 9 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany