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» Distributed parameter estimation in networks
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AI
2010
Springer
13 years 9 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
JCNS
2000
165views more  JCNS 2000»
13 years 8 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina
SENSYS
2009
ACM
14 years 3 months ago
Mercury: a wearable sensor network platform for high-fidelity motion analysis
This paper describes Mercury, a wearable, wireless sensor platform for motion analysis of patients being treated for neuromotor disorders, such as Parkinson’s Disease, epilepsy,...
Konrad Lorincz, Bor-rong Chen, Geoffrey Werner Cha...
TMC
2010
142views more  TMC 2010»
13 years 7 months ago
DGRAM: A Delay Guaranteed Routing and MAC Protocol for Wireless Sensor Networks
This paper presents an integrated MAC and routing protocol called Delay Guaranteed Routing and MAC (DGRAM) for delay sensitive wireless sensor network (WSN) applications. DGRAM is...
Shanti Chilukuri, Anirudha Sahoo
WWW
2010
ACM
14 years 3 months ago
Measurement-calibrated graph models for social network experiments
Access to realistic, complex graph datasets is critical to research on social networking systems and applications. Simulations on graph data provide critical evaluation of new sys...
Alessandra Sala, Lili Cao, Christo Wilson, Robert ...