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GRAMMARS
2002
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13 years 8 months ago
Computational Complexity of Probabilistic Disambiguation
Recent models of natural language processing employ statistical reasoning for dealing with the ambiguity of formal grammars. In this approach, statistics, concerning the various li...
Khalil Sima'an
ECSQARU
2005
Springer
14 years 2 months ago
Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits
We describe an algorithm to build a graphical model—more precisely: a join tree representation of a Markov network—for a steady state analog electrical circuit. This model can ...
Christian Borgelt, Rudolf Kruse
ICGI
1994
Springer
14 years 1 months ago
Inducing Probabilistic Grammars by Bayesian Model Merging
We describe a framework for inducing probabilistic grammars from corpora of positive samples. First, samples are incorporated by adding ad-hoc rules to a working grammar; subseque...
Andreas Stolcke, Stephen M. Omohundro
KESAMSTA
2009
Springer
14 years 3 months ago
An Approximate Model for Bidders in Sequential Automated Auctions
In this paper, we propose a probabilistic model to study the interaction of bidder and seller agents in sequential automated auctions. We consider a designated “special bidder”...
Erol Gelenbe, Kumaara Velan
ICTAI
2006
IEEE
14 years 3 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...