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JMLR
2010
156views more  JMLR 2010»
13 years 3 months ago
Classification with Incomplete Data Using Dirichlet Process Priors
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
Chunping Wang, Xuejun Liao, Lawrence Carin, David ...
ESWA
2008
195views more  ESWA 2008»
13 years 8 months ago
Automatic expert identification using a text categorization technique in knowledge management systems
Since tacit knowledge such as know-how and experiences is hard to be managed effectively using information technology, it is recently proposed that providing an appropriate expert...
Kun-Woo Yang, Soon-Young Huh
NIPS
2003
13 years 9 months ago
Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression
Nonlinear filtering can solve very complex problems, but typically involve very time consuming calculations. Here we show that for filters that are constructed as a RBF network ...
Roland Vollgraf, Michael Scholz, Ian A. Meinertzha...
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 10 days ago
Evolving kernels for support vector machine classification
While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...
Keith Sullivan, Sean Luke
IJON
2011
91views more  IJON 2011»
13 years 3 months ago
Asymptotic properties of mixture-of-experts models
The statistical properties of the likelihood ratio test statistic (LRTS) for mixture-of-expert models are addressed in this paper. This question is essential when estimating the nu...
Madalina Olteanu, Joseph Rynkiewicz