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» Toward network data independence
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88
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UAI
2003
15 years 2 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
115
Voted
IJNSEC
2011
232views more  IJNSEC 2011»
14 years 7 months ago
Location-aware, Trust-based Detection and Isolation of Compromised Nodes in Wireless Sensor Networks
The detection and isolation of compromised nodes in wireless sensor networks is a difficult task. However, failure to identify and isolate compromised nodes results in significan...
Garth V. Crosby, Lance Hester, Niki Pissinou
119
Voted
MMB
2004
Springer
149views Communications» more  MMB 2004»
15 years 6 months ago
Relating Query Popularity and File Replication in the Gnutella Peer-to-Peer Network
In this paper, we characterize the user behavior in a peer-to-peer (P2P) file sharing network. Our characterization is based on the results of an extensive passive measurement stu...
Alexander Klemm, Christoph Lindemann, Oliver P. Wa...
99
Voted
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 5 months ago
Robust stability of multi-hop control networks
Abstract— We propose formal models for analyzing robustness of multi-hop control networks, where data from sensors to controllers and from controllers to actuators is sent throug...
Gera Weiss, Alessandro D'Innocenzo, Rajeev Alur, K...
DCC
2006
IEEE
16 years 7 days ago
Distributed Sampling and Compression of Scenes with Finite Rate of Innovation in Camera Sensor Networks
We study the problem of distributed sampling and compression in sensor networks when the sensors are digital cameras that acquire a 3-D visual scene of interest from different vie...
Nicolas Gehrig, Pier Luigi Dragotti