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SUM
2009
Springer
15 years 4 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
CORR
2007
Springer
144views Education» more  CORR 2007»
14 years 10 months ago
Heuristics for Network Coding in Wireless Networks
Multicast is a central challenge for emerging multi-hop wireless architectures such as wireless mesh networks, because of its substantial cost in terms of bandwidth. In this artic...
Song Yean Cho, Cedric Adjih, Philippe Jacquet
84
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AAIM
2009
Springer
98views Algorithms» more  AAIM 2009»
15 years 4 months ago
Latency Constrained Aggregation in Chain Networks Admits a PTAS
This paper studies the aggregation of messages in networks that consist of a chain of nodes, and each message is time-constrained such that it needs to be aggregated during a give...
Tim Nonner, Alexander Souza
INFOCOM
2008
IEEE
15 years 4 months ago
A Distributed Minimum-Distortion Routing Algorithm with In-Network Data Processing
—In many wired and wireless networks, nodes process input traffic to satisfy a network constraint (e.g. capacity constraints) and to increase the utility of data in the output ...
Ramin Khalili, James F. Kurose
90
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HIPEAC
2005
Springer
15 years 3 months ago
Exploiting a Computation Reuse Cache to Reduce Energy in Network Processors
Abstract. High end routers are targeted at providing worst case throughput guarantees over latency. Caches on the other hand are meant to help latency not throughput in a tradition...
Bengu Li, Ganesh Venkatesh, Brad Calder, Rajiv Gup...