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UAI
2000
13 years 10 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
SECON
2008
IEEE
14 years 3 months ago
Coordinated Locomotion of Mobile Sensor Networks
Stationary wireless sensor networks (WSNs) fail to scale when the area to be monitored is open (i.e borderless) and the physical phenomena to be monitored may migrate through a la...
Seokhoon Yoon, Onur Soysal, Murat Demirbas, Chunmi...
DCOSS
2009
Springer
14 years 3 months ago
Fast Self-stabilization for Gradients
Abstract. Gradients are distributed distance estimates used as a building block in many sensor network applications. In large or long-lived deployments, it is important for the est...
Jacob Beal, Jonathan Bachrach, Daniel Vickery, Mar...
BMCBI
2008
174views more  BMCBI 2008»
13 years 9 months ago
Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset
Background: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interact...
Cédric Auliac, Vincent Frouin, Xavier Gidro...
SIGCOMM
2009
ACM
14 years 3 months ago
Resonance: dynamic access control for enterprise networks
Enterprise network security is typically reactive, and it relies heavily on host security and middleboxes. This approach creates complicated interactions between protocols and sys...
Ankur Kumar Nayak, Alex Reimers, Nick Feamster, Ru...