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» Evolving recurrent models using linear GP
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NIPS
1998
13 years 7 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
SIAMADS
2010
121views more  SIAMADS 2010»
13 years 23 days ago
Binocular Rivalry in a Competitive Neural Network with Synaptic Depression
We study binocular rivalry in a competitive neural network with synaptic depression. In particular, we consider two coupled hypercolums within primary visual cortex (V1), represent...
Zachary P. Kilpatrick, Paul C. Bressloff
IC
2007
13 years 7 months ago
Gordon Surface Modeling in a Network Environment
—With the advent of the Internet, we have entered the age of ubiquitous systems that will need to be able to communicate, establish criteria for measurement and then perform thes...
Jan Smid, Petr Volf
CSDA
2008
128views more  CSDA 2008»
13 years 6 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
WSC
2004
13 years 7 months ago
Using Simulated Data in Support of Research on Regression Analysis
Using simulated data to develop and study diagnostic tools for data analysis is very beneficial. The user can gain insight about what happens when assumptions are violated since t...
Christopher Michael Hill, Linda C. Malone