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» An Auxiliary Variational Method
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CEC
2009
IEEE
16 years 28 days ago
The Pareto-Following Variation Operator as an alternative approximation model
— This paper presents a critical analysis of the Pareto-Following Variation Operator (PFVO) when used as an approximation method for Multiobjective Evolutionary Algorithms (MOEA)...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
BIOSURVEILLANCE
2007
Springer
16 years 10 days ago
Assessing Seasonal Variation in Multisource Surveillance Data: Annual Harmonic Regression
A significant proportion of human diseases, spanning the gamut from viral respiratory disease to arthropod-borne macroparasitic infections of the blood, exhibit distinct and stable...
Eric Lofgren, Nina Fefferman, Meena Doshi, Elena N...
ICCSA
2003
Springer
15 years 11 months ago
Robust Speaker Recognition Against Utterance Variations
A speaker model in speaker recognition system is to be trained from a large data set gathered in multiple sessions. Large data set requires large amount of memory and computation, ...
JongJoo Lee, JaeYeol Rheem, Ki Yong Lee
SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
15 years 7 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
NN
2002
Springer
136views Neural Networks» more  NN 2002»
15 years 5 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani