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BMCBI
2007
215views more  BMCBI 2007»
15 years 7 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
204
Voted
FGCN
2007
IEEE
126views Communications» more  FGCN 2007»
16 years 1 months ago
Traffic Splitting with Network Calculus for Mesh Sensor Networks
In many applications of sensor networks, it is essential to ensure that messages are transmitted to their destinations as early as possible and the buffer size of each sensor node...
Huimin She, Zhonghai Lu, Axel Jantsch, Li-Rong Zhe...
FCCM
2000
IEEE
103views VLSI» more  FCCM 2000»
15 years 12 months ago
A Networked FPGA-Based Hardware Implementation of a Neural Network Application
This paper describes a networked FPGA-based implementation of the FAST (Flexible Adaptable-Size Topology) architecture, a Arti cial Neural Network (ANN) that dynamically adapts it...
Héctor Fabio Restrepo, Ralph Hoffmann, Andr...
MOBICOM
2003
ACM
16 years 21 days ago
Towards realistic mobility models for mobile ad hoc networks
One of the most important methods for evaluating the characteristics of ad hoc networking protocols is through the use of simulation. Simulation provides researchers with a number...
Amit P. Jardosh, Elizabeth M. Belding-Royer, Kevin...
WIOPT
2006
IEEE
16 years 1 months ago
Analytical modeling of ad hoc networks that utilize space-time coding
— This paper presents the first analytical model for ad hoc networks equipped with multiple-input multiple-output (MIMO) radios using space-time coding (STC) that considers the ...
Marcelo M. Carvalho, J. J. Garcia-Luna-Aceves