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NIPS
2008
13 years 11 months ago
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction
We explore a new Bayesian model for probabilistic grammars, a family of distributions over discrete structures that includes hidden Markov models and probabilistic context-free gr...
Shay B. Cohen, Kevin Gimpel, Noah A. Smith
WSC
2007
14 years 4 days ago
Feasibility study of variance reduction in the logistics composite model
The Logistics Composite Model (LCOM) is a stochastic, discrete-event simulation that relies on probabilities and random number generators to model scenarios in a maintenance unit ...
George P. Cole III, Alan W. Johnson, J. O. Miller
COLING
2010
13 years 4 months ago
A Logistic Regression Model of Determiner Omission in PPs
The realization of singular count nouns without an accompanying determiner inside a PP (determinerless PP, bare PP, Preposition-Noun Combination) has recently attracted some inter...
Tibor Kiss, Katja Keßelmeier, Antje Mül...
ANOR
2006
133views more  ANOR 2006»
13 years 10 months ago
An integrated model for logistics network design
In this paper we introduce a new formulation of the logistics network design problem encountered in deterministic, single-country, single-period contexts. Our formulation is flexi...
Jean-François Cordeau, Federico Pasin, Mari...
SIGIR
2008
ACM
13 years 9 months ago
A bayesian logistic regression model for active relevance feedback
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...
Zuobing Xu, Ram Akella