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BMCBI
2006
146views more  BMCBI 2006»
15 years 4 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
ENTCS
2006
1305views more  ENTCS 2006»
15 years 4 months ago
Communication Attitudes: A Formal Approach to Ostensible Intentions, and Individual and Group Opinions
Conventional approaches to the modeling of autonomous agents and agent communication rely heavily on the ascription of mental properties like beliefs and intentions to the individ...
Matthias Nickles, Felix A. Fischer, Gerhard Wei&sz...
FGCS
2006
111views more  FGCS 2006»
15 years 4 months ago
Collaborative data visualization for Earth Sciences with the OptIPuter
Collaborative visualization of large-scale datasets across geographically distributed sites is becoming increasingly important for Earth Sciences. Not only does it enhance our und...
Nut Taesombut, Xinran (Ryan) Wu, Andrew A. Chien, ...
CORR
2007
Springer
126views Education» more  CORR 2007»
15 years 4 months ago
Optimal Throughput-Diversity-Delay Tradeoff in MIMO ARQ Block-Fading Channels
In this paper, we consider an automatic-repeat-request (ARQ) retransmission protocol signaling over a block-fading multiple-input, multiple-output (MIMO) channel. Unlike previous ...
Allen Chuang, Albert Guillen i Fabregas, Lars K. R...
ET
2007
101views more  ET 2007»
15 years 4 months ago
Towards Nanoelectronics Processor Architectures
In this paper, we focus on reliability, one of the most fundamental and important challenges, in the nanoelectronics environment. For a processor architecture based on the unreliab...
Wenjing Rao, Alex Orailoglu, Ramesh Karri
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