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218
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JMLR
2010
143views more  JMLR 2010»
15 years 1 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
238
Voted
TWC
2010
15 years 1 months ago
Channel Diversity in Random Wireless Networks
The goal of this paper is to explore the benefits of channel diversity in wireless ad hoc networks. Our model is that of a Poisson point process of transmitters, each with a recei...
Kostas Stamatiou, John G. Proakis, James R. Zeidle...
DSN
2011
IEEE
14 years 6 months ago
Modeling time correlation in passive network loss tomography
—We consider the problem of inferring link loss rates using passive measurements. Prior inference approaches are mainly built on the time correlation nature of packet losses. How...
Jin Cao, Aiyou Chen, Patrick P. C. Lee
ICDCSW
2011
IEEE
14 years 6 months ago
SenSec: A Scalable and Accurate Framework for Wireless Sensor Network Security Evaluation
—Developing secure wireless sensor networks (WSNs) is a complex process that involves careful design of attack test cases and security countermeasures, as well as meaningful eval...
Yi-Tao Wang, Rajive Bagrodia
230
Voted
TMC
2012
13 years 9 months ago
A Statistical Mechanics-Based Framework to Analyze Ad Hoc Networks with Random Access
—Characterizing the performance of ad hoc networks is one of the most intricate open challenges; conventional ideas based on information-theoretic techniques and inequalities hav...
Sunil Srinivasa, Martin Haenggi