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UAI
1996
14 years 4 days ago
Learning Bayesian Networks with Local Structure
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
Nir Friedman, Moisés Goldszmidt
SEFM
2008
IEEE
14 years 5 months ago
Restricted Broadcast Process Theory
We present a process algebra for modeling and reasoning about Mobile Ad hoc Networks (MANETs) and their protocols. In our algebra we model the essential modeling concepts of ad ho...
Fatemeh Ghassemi, Wan Fokkink, Ali Movaghar
CSE
2009
IEEE
14 years 5 months ago
The Importance of Data Collection for Modelling Contact Networks
—The recently developed small wireless devices ranging from sensor boards to mobile phones provide a timely opportunity to gather unique data sets on complex human interactions, ...
Eiko Yoneki
ICPR
2004
IEEE
14 years 12 months ago
Estimation of the Bayesian Network Architecture for Object Tracking in Video Sequences
It was recently proposed the use of Bayesian networks for object tracking. Bayesian networks allow to model the interaction among detected trajectories, in order to obtain a relia...
Arnaldo J. Abrantes, Jorge S. Marques, Pedro Mende...
NOCS
2010
IEEE
13 years 9 months ago
Evaluating Bufferless Flow Control for On-chip Networks
—With the emergence of on-chip networks, the power consumed by router buffers has become a primary concern. Bufferless flow control addresses this issue by removing router buffe...
George Michelogiannakis, Daniel Sanchez, William J...