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DSN
2011
IEEE
14 years 4 months ago
Modeling time correlation in passive network loss tomography
—We consider the problem of inferring link loss rates using passive measurements. Prior inference approaches are mainly built on the time correlation nature of packet losses. How...
Jin Cao, Aiyou Chen, Patrick P. C. Lee
IPPS
2008
IEEE
15 years 11 months ago
Adaptive Locality-Effective Kernel Machine for protein phosphorylation site prediction
In this study, we propose a new machine learning model namely, Adaptive Locality-Effective Kernel Machine (Adaptive-LEKM) for protein phosphorylation site prediction. Adaptive-LEK...
Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert...
ICALT
2008
IEEE
15 years 11 months ago
NUCLEO: Adaptive Computer Supported Collaborative Learning in a Role Game Based Scenario
This paper presents the adaptation model used in NUCLEO, a pilot e-learning environment that is currently being developed at the Complutense University of Madrid. The NUCLEO syste...
Pilar Sancho, Rubén Fuentes-Fernánde...
ICC
2007
IEEE
140views Communications» more  ICC 2007»
15 years 11 months ago
Performance Analysis of Adaptively-Routed Wormhole-Switched Networks with Finite Buffers
—The use of adaptively-routed wormhole switched k-ary n-cubes has been motivated by the high path diversity provided by the rich topology of this family of interconnection networ...
Nasser Alzeidi, Mohamed Ould-Khaoua, Lewis M. Mack...
AI
2009
Springer
15 years 11 months ago
Grid-Enabled Adaptive Metamodeling and Active Learning for Computer Based Design
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Dirk Gorissen