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BMCBI
2010
233views more  BMCBI 2010»
14 years 10 months ago
Odefy -- From discrete to continuous models
Background: Phenomenological information about regulatory interactions is frequently available and can be readily converted to Boolean models. Fully quantitative models, on the ot...
Jan Krumsiek, Sebastian Pölsterl, Dominik M. ...
BMCBI
2008
167views more  BMCBI 2008»
14 years 10 months ago
Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classificat
Background: Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of ide...
Michael Gormley, Aydin Tozeren
CCR
2010
202views more  CCR 2010»
14 years 10 months ago
Understanding data center traffic characteristics
As data centers become more and more central in Internet communications, both research and operations communities have begun to explore how to better design and manage them. In th...
Theophilus Benson, Ashok Anand, Aditya Akella, Min...
JRTIP
2008
118views more  JRTIP 2008»
14 years 10 months ago
Custom parallel caching schemes for hardware-accelerated image compression
Abstract In an effort to achieve lower bandwidth requirements, video compression algorithms have become increasingly complex. Consequently, the deployment of these algorithms on Fi...
Su-Shin Ang, George A. Constantinides, Wayne Luk, ...
JUCS
2006
185views more  JUCS 2006»
14 years 10 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...