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» Input Modeling Using Quantile Statistical Methods
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WSC
1998
13 years 9 months ago
Bayesian Model Selection when the Number of Components is Unknown
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
Russell C. H. Cheng
EMNLP
2008
13 years 9 months ago
Seed and Grow: Augmenting Statistically Generated Summary Sentences using Schematic Word Patterns
We examine the problem of content selection in statistical novel sentence generation. Our approach models the processes performed by professional editors when incorporating materi...
Stephen Wan, Robert Dale, Mark Dras, Cécile...
WSC
2004
13 years 9 months ago
Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models
Global likelihood maximization is an important aspect of many statistical analyses. Often the likelihood function is highly multi-extremal. This presents a significant challenge t...
Zdravko I. Botev, Dirk P. Kroese
WSC
1997
13 years 9 months ago
Structured Models and Dynamic Systems Analysis: The Integration of the IDEF0/IDEF3 Modeling Methods and Discrete Event Simulatio
The role of modeling and simulation is receiving much press of late. However, the lack of practice in employing a link between the two is alarming. A static model is used to under...
Larry Whitman, Brian L. Huff, Adrien Presley
ACL
1997
13 years 9 months ago
Document Classification Using a Finite Mixture Model
We propose a new method of classifying documents into categories. We define for each category a finite mixture model based on soft clustering of words. We treat the problem of cla...
Hang Li, Kenji Yamanishi