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UAI
1998
13 years 9 months ago
Incremental Tradeoff Resolution in Qualitative Probabilistic Networks
Qualitativeprobabilistic reasoningin a Bayesiannetworkoften reveals tradeoffs: relationships that are ambiguousdue to competingqualitative influences. Wepresent twotechniquesthat ...
Chao-Lin Liu, Michael P. Wellman
AAAI
2000
13 years 9 months ago
Semantics and Inference for Recursive Probability Models
In recent years, there have been several proposals that extend the expressive power of Bayesian networks with that of relational models. These languages open the possibility for t...
Avi Pfeffer, Daphne Koller
NDSS
2009
IEEE
14 years 2 months ago
SybilInfer: Detecting Sybil Nodes using Social Networks
SybilInfer is an algorithm for labelling nodes in a social network as honest users or Sybils controlled by an adversary. At the heart of SybilInfer lies a probabilistic model of h...
George Danezis, Prateek Mittal
IPSN
2005
Springer
14 years 1 months ago
A robust architecture for distributed inference in sensor networks
— Many inference problems that arise in sensor networks require the computation of a global conclusion that is consistent with local information known to each node. A large class...
Mark A. Paskin, Carlos Guestrin, Jim McFadden
IDA
2005
Springer
14 years 1 months ago
Combining Bayesian Networks with Higher-Order Data Representations
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
Elias Gyftodimos, Peter A. Flach