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ECTEL
2006
Springer
15 years 10 months ago
A Formal Model of Learning Object Metadata
In this paper, we introduce a new, formal model of learning object metadata. The model enables more formal, rigorous reasoning over metadata. An important feature of the model is t...
Kris Cardinaels, Erik Duval, Henk J. Olivié
BMCBI
2004
135views more  BMCBI 2004»
15 years 6 months ago
Information assessment on predicting protein-protein interactions
Background: Identifying protein-protein interactions is fundamental for understanding the molecular machinery of the cell. Proteome-wide studies of protein-protein interactions ar...
Nan Lin, Baolin Wu, Ronald Jansen, Mark Gerstein, ...
CLUSTER
2008
IEEE
16 years 27 days ago
A trace-driven emulation framework to predict scalability of large clusters in presence of OS Jitter
—Various studies have pointed out the debilitating effects of OS Jitter on the performance of parallel applications on large clusters such as the ASCI Purple and the Mare Nostrum...
Pradipta De, Ravi Kothari, Vijay Mann
PIMRC
2008
IEEE
16 years 25 days ago
Concurrent and parallel transmissions are optimal for low data-rate IR-UWB networks
— The Internet of Things, emerging pervasive and sensor networks are low data-rate wireless networks with, a priori, no specific topology and no fixed infrastructure. Their pri...
Jean-Yves Le Boudec, Ruben Merz
FAST
2010
15 years 8 months ago
Tracking Back References in a Write-Anywhere File System
Many file systems reorganize data on disk, for example to defragment storage, shrink volumes, or migrate data between different classes of storage. Advanced file system features s...
Peter Macko, Margo I. Seltzer, Keith A. Smith