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» Multiplicative Attribute Graph Model of Real-World Networks
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NN
1997
Springer
174views Neural Networks» more  NN 1997»
14 years 23 days 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
NOMS
2002
IEEE
130views Communications» more  NOMS 2002»
14 years 1 months ago
End-to-end service failure diagnosis using belief networks
We present fault localization techniques suitable for diagnosing end-to-end service problems in communication systems with complex topologies. We refine a layered system model th...
Malgorzata Steinder, Adarshpal S. Sethi
EDBT
2009
ACM
162views Database» more  EDBT 2009»
14 years 3 months ago
A data model for trip planning in multimodal transportation systems
This paper introduces the problem of modeling urban transportation systems in a database where certain aspects of the data are probabilistic in nature. The transportation network ...
Joel Booth, A. Prasad Sistla, Ouri Wolfson, Isabel...
IROS
2007
IEEE
126views Robotics» more  IROS 2007»
14 years 2 months ago
A graph theoretic approach to optimal target tracking for mobile robot teams
Abstract— In this paper, we present an optimization framework for target tracking with mobile robot teams. The target tracking problem is modeled as a generic semidefinite progr...
Jason C. Derenick, John R. Spletzer, M. Ani Hsieh
MOBIHOC
2002
ACM
14 years 8 months ago
On the minimum node degree and connectivity of a wireless multihop network
This paper investigates two fundamental characteristics of a wireless multihop network: its minimum node degree and its k?connectivity. Both topology attributes depend on the spat...
Christian Bettstetter