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ICPR
2008
IEEE
14 years 9 months ago
Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
Qiang Ji, Wenhui Liao
VRST
1998
ACM
14 years 5 days ago
Multi-resolution model transmission in distributed virtual environments
Distributed virtual environments allow users at di erent geographical locations to share and interact within a common virtual environment via a local network or through the Intern...
Jimmy H. P. Chim, Rynson W. H. Lau, Antonio Si, Ho...
WWIC
2009
Springer
119views Communications» more  WWIC 2009»
14 years 2 months ago
Handover Incentives for WLANs with Overlapping Coverage
Abstract. It is well known that in IEEE 802.11 networks, the assignment of low-rate and high-rate users to the same access point significantly degrades the performance of the high...
Xenofon Fafoutis, Vasilios A. Siris
CDC
2008
IEEE
124views Control Systems» more  CDC 2008»
14 years 2 months ago
A proximal center-based decomposition method for multi-agent convex optimization
— In this paper we develop a new dual decomposition method for optimizing a sum of convex objective functions corresponding to multiple agents but with coupled constraints. In ou...
Ion Necoara, Johan A. K. Suykens
IROS
2009
IEEE
186views Robotics» more  IROS 2009»
14 years 2 months ago
A statistical approach to gas distribution modelling with mobile robots - The Kernel DM+V algorithm
— Gas distribution modelling constitutes an ideal application area for mobile robots, which – as intelligent mobile gas sensors – offer several advantages compared to station...
Achim J. Lilienthal, Matteo Reggente, Marco Trinca...