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ICGI
1994
Springer
15 years 7 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
NAACL
2007
15 years 4 months ago
First-Order Probabilistic Models for Coreference Resolution
Traditional noun phrase coreference resolution systems represent features only of pairs of noun phrases. In this paper, we propose a machine learning method that enables features ...
Aron Culotta, Michael L. Wick, Andrew McCallum
IFM
2010
Springer
133views Formal Methods» more  IFM 2010»
15 years 1 months ago
Towards Probabilistic Modelling in Event-B
Abstract. Event-B provides us with a powerful framework for correctby-construction system development. However, while developing dependable systems we should not only guarantee the...
Anton Tarasyuk, Elena Troubitsyna, Linas Laibinis
CORR
2012
Springer
198views Education» more  CORR 2012»
13 years 11 months ago
Lipschitz Parametrization of Probabilistic Graphical Models
We show that the log-likelihood of several probabilistic graphical models is Lipschitz continuous with respect to the ￿p-norm of the parameters. We discuss several implications ...
Jean Honorio
UM
2005
Springer
15 years 8 months ago
Data-Driven Refinement of a Probabilistic Model of User Affect
We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to de...
Cristina Conati, Heather Maclaren