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SIGIR
2005
ACM
14 years 2 months ago
A Markov random field model for term dependencies
This paper develops a general, formal framework for modeling term dependencies via Markov random fields. The model allows for arbitrary text features to be incorporated as eviden...
Donald Metzler, W. Bruce Croft
CORR
2007
Springer
87views Education» more  CORR 2007»
13 years 9 months ago
Detection of Gauss-Markov Random Fields with Nearest-Neighbor Dependency
Abstract—The problem of hypothesis testing against independence for a Gauss–Markov random field (GMRF) is analyzed. Assuming an acyclic dependency graph, an expression for the...
Animashree Anandkumar, Lang Tong, Ananthram Swami
MFCS
2007
Springer
14 years 3 months ago
Communication in Networks with Random Dependent Faults
The aim of this paper is to study communication in networks where nodes fail in a random dependent way. In order to capture fault dependencies, we introduce the neighborhood fault...
Evangelos Kranakis, Michel Paquette, Andrzej Pelc
VTC
2006
IEEE
121views Communications» more  VTC 2006»
14 years 3 months ago
Location-Dependent Parameterization of a Random Direction Mobility Model
— Mobility models are widely used in simulation-based performance analyses of mobile networks. However, there is a trade-off between simplicity and realistic movement patterns. S...
Bernd Gloss, Michael Scharf, Daniel Neubauer
ICML
2004
IEEE
14 years 9 months ago
Learning random walk models for inducing word dependency distributions
Many NLP tasks rely on accurately estimating word dependency probabilities P(w1|w2), where the words w1 and w2 have a particular relationship (such as verb-object). Because of the...
Kristina Toutanova, Christopher D. Manning, Andrew...