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» Dependence Modeling for Stochastic Simulation
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COLING
2000
15 years 4 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
15 years 4 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»
15 years 2 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
15 years 9 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
15 years 4 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 ...