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NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 10 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
SIROCCO
2004
15 years 7 months ago
Time Efficient Gossiping in Known Radio Networks
We study here the gossiping problem (all-to-all communication) in known radio networks, i.e., when all nodes are aware of the network topology. We start our presentation with a det...
Leszek Gasieniec, Igor Potapov, Qin Xin
GLOBECOM
2010
IEEE
15 years 4 months ago
Equitable Energy Consumption during Repeated Transmissions in a Multihop Wireless Network
This paper addresses the issue of network life during repeated broadcasts originating from the same source in large, strip-shaped wireless sensor networks. The proposed technique w...
Aravind Kailas, Mary Ann Ingram
PODC
2005
ACM
15 years 11 months ago
Routing complexity of faulty networks
One of the fundamental problems in distributed computing is how to efficiently perform routing in a faulty network in which each link fails with some probability. This paper inves...
Omer Angel, Itai Benjamini, Eran Ofek, Udi Wieder
CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 6 months ago
Deploying Wireless Networks with Beeps
Abstract. We present the discrete beeping communication model, which assumes nodes have minimal knowledge about their environment and severely limited communication capabilities. S...
Alejandro Cornejo, Fabian Kuhn