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» Probabilistic Models of Nonprojective Dependency Trees
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ECML
2007
Springer
14 years 1 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou
ICTAI
2006
IEEE
14 years 1 months ago
A Junction Tree Propagation Algorithm for Bayesian Networks with Second-Order Uncertainties
Bayesian networks (BNs) have been widely used as a model for knowledge representation and probabilistic inferences. However, the single probability representation of conditional d...
Maurizio Borsotto, Weihong Zhang, Emir Kapanci, Av...
PRDC
2008
IEEE
14 years 2 months ago
On the Complexity of a Self-Stabilizing Spanning Tree Algorithm for Large Scale Systems
Many large scale systems, like grids and structured peer to peer systems, operate on a constrained topology. Since underlying networks do not expose the real topology to the appli...
Julien Clement, Thomas Hérault, Stép...
COLING
2002
13 years 7 months ago
Can Subcategorization Help a Statistical Dependency Parser?
Today there is a relatively large body of work on automatic acquisition of lexicosyntactical preferences (subcategorization) from corpora. Various techniques have been developed t...
Daniel Zeman
NOMS
2002
IEEE
130views Communications» more  NOMS 2002»
14 years 17 days 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