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» Using UML for Modeling Complex Real-Time Systems
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HRI
2006
ACM
16 years 17 days ago
Using context and sensory data to learn first and second person pronouns
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
Kevin Gold, Brian Scassellati
IJCNN
2006
IEEE
16 years 19 days ago
Small-catchment flood forecasting and drainage network extraction using computational intelligence
— Forecast, detection and warning of severe weather and related hydro-geological risks is becoming one of the major issues for civil protection. The use of computational intellig...
Erika Coppola, Barbara Tomassetti, Marco Verdecchi...
COMPLEXITY
2010
124views more  COMPLEXITY 2010»
15 years 4 months ago
Spatially embedded dynamics and complexity
To gain a deeper understanding of the impact of spatial embedding on the dynamics of complex systems we employ a measure of interaction complexity developed within neuroscience us...
Christopher L. Buckley, Seth Bullock, Lionel Barne...
ADC
2007
Springer
93views Database» more  ADC 2007»
15 years 10 months ago
A Heuristic Approach to Cost-Efficient Derived Horizontal Fragmentation of Complex Value Databases
Derived horizontal fragmentation is one of the main database distribution design techniques. Unlike primary horizontal fragmentation, the decision of derived horizontal fragmentat...
Hui Ma, Klaus-Dieter Schewe, Qing Wang
IPPS
2007
IEEE
16 years 28 days ago
STAMP: A Universal Algorithmic Model for Next-Generation Multithreaded Machines and Systems
We propose a generic algorithmic model called STAMP (Synchronous, Transactional, and Asynchronous MultiProcessing) as a universal performance and power complexity model for multit...
Michel Dubois, Hyunyoung Lee, Lan Lin