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» Evolving Artificial Neural Networks that Develop in Time
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EUROPAR
2005
Springer
15 years 3 months ago
An Approach to Performance Prediction for Parallel Applications
Abstract. Accurately modeling and predicting performance for largescale applications becomes increasingly difficult as system complexity scales dramatically. Analytic predictive mo...
Engin Ipek, Bronis R. de Supinski, Martin Schulz, ...
ATAL
2007
Springer
15 years 1 months ago
Towards reflective mobile agents for resource-constrained mobile devices
The vision of ubiquitous computing is one in which resource constrained mobile devices form ad-hoc networks to enable the delivery of services that are sensitive and responsive to...
Conor Muldoon, Gregory M. P. O'Hare, John F. Bradl...
ICTAI
2009
IEEE
15 years 4 months ago
Change Tracer: Tracking Changes in Web Ontologies
Knowledge constantly grows in scientific discourse and is revised over time by domain experts. The body of knowledge will get structured and refined as the Communities of Practice...
Asad Masood Khattak, Khalid Latif, Manhyung Han, S...
CEC
2009
IEEE
15 years 1 months ago
JubiTool: Unified design flow for the Perplexus SIMD hardware accelerator
This paper presents a new unified design flow developed within the Perplexus project that aims to accelerate parallelizable data-intensive applications in the context of ubiquitous...
Olivier Brousse, Jérémie Guillot, Th...
ATAL
2008
Springer
14 years 11 months ago
Agent-based models for animal cognition: a proposal and prototype
Animal ecologists have successfully applied agent-based models to many different problems. Often, these focus on issues concerning collective behaviors, environmental interactions...
Elske van der Vaart, Rineke Verbrugge