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» Language Modeling for Determiner Selection
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WSC
2004
13 years 10 months ago
Simulated Annealing for Selection of Experimental Regions in Response Surface Methodology Applications
In this paper we describe a methodology that includes the complementary use of simulated annealing and response surface methodology (RSM). The methodology was developed for analys...
Jeffrey B. Schamburg, Donald E. Brown
IJON
2000
71views more  IJON 2000»
13 years 8 months ago
Variable selection using neural-network models
In this paper we propose an approach to variable selection that uses a neural-network model as the tool to determine which variables are to be discarded. The method performs a bac...
Giovanna Castellano, Anna Maria Fanelli
BMEI
2009
IEEE
13 years 10 months ago
A Kurtosis and Skewness Based Criterion for Model Selection on Gaussian Mixture
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
Lin Wang, Jinwen Ma
ASPDAC
2007
ACM
116views Hardware» more  ASPDAC 2007»
14 years 1 months ago
Frequency Selective Model Order Reduction via Spectral Zero Projection
As process technology continues to scale into the nanoscale regime, interconnect plays an ever increasing role in determining VLSI system performance. As the complexity of these sy...
Mehboob Alam, Arthur Nieuwoudt, Yehia Massoud
ACL
2009
13 years 6 months ago
Modeling Morphologically Rich Languages Using Split Words and Unstructured Dependencies
We experiment with splitting words into their stem and suffix components for modeling morphologically rich languages. We show that using a morphological analyzer and disambiguator...
Deniz Yuret, Ergun Biçici