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» Dependence Modeling for Stochastic Simulation
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COLING
2000
13 years 10 months ago
A Statistical Theory of Dependency Syntax
A generative statistical model of dependency syntax is proposed based on 'l'csniSre's classical theory. It provides a stochastic formalization of the original model...
Christer Samuelsson
CLEF
2009
Springer
13 years 9 months ago
Simulating Morphological Analyzers with Stochastic Taggers for Confidence Estimation
We propose a method for providing stochastic confidence estimates for rule-based and black-box natural language (NL) processing systems. Our method does not require labeled trainin...
Christian Monson, Kristy Hollingshead, Brian Roark
JCNS
1998
134views more  JCNS 1998»
13 years 8 months ago
Analytical and Simulation Results for Stochastic Fitzhugh-Nagumo Neurons and Neural Networks
An analytical approach is presented for determining the response of a neuron or of the activity in a network of connected neurons, represented by systems of nonlinear ordinary stoc...
Henry C. Tuckwell, Roger Rodriguez
QEST
2006
IEEE
14 years 2 months ago
Bound-Preserving Composition for Markov Reward Models
Stochastic orders can be applied to Markov reward models and used to aggregate models, while introducing a bounded error. Aggregation reduces the number of states in a model, miti...
David Daly, Peter Buchholz, William H. Sanders
WSC
2004
13 years 10 months ago
Overlapping Variance Estimators for Simulations
We examine properties of overlapped versions of the standardized time series area and Cram
Christos Alexopoulos, David Goldsman, Nilay Tanik ...