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» Logic Simulation Using Networks of State Machines
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BMCBI
2007
215views more  BMCBI 2007»
14 years 9 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
EENERGY
2010
15 years 1 months ago
Energy-aware traffic engineering
Energy consumption of the Internet is already substantial and it is likely to increase as operators deploy faster equipment to handle popular bandwidthintensive services, such as ...
Nedeljko Vasic, Dejan Kostic
NIPS
2004
14 years 11 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
IPPS
2006
IEEE
15 years 3 months ago
A study of the on-chip interconnection network for the IBM Cyclops64 multi-core architecture
The designs of high-performance processor architectures are moving toward the integration of a large number of multiple processing cores on a single chip. The IBM Cyclops-64 (C64)...
Yingping Zhang, Taikyeong Jeong, Fei Chen, Haiping...
TISSEC
2008
235views more  TISSEC 2008»
14 years 9 months ago
SDAP: A Secure Hop-by-Hop Data Aggregation Protocol for Sensor Networks
Hop-by-hop data aggregation is a very important technique for reducing the communication overhead and energy expenditure of sensor nodes during the process of data collection in a...
Yi Yang, Xinran Wang, Sencun Zhu, Guohong Cao