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ICASSP
2011
IEEE
12 years 8 months ago
An extension of the ICA model using latent variables
The Independent Component Analysis (ICA) model is extended to the case where the components are not necessarily independent: depending on the value a hidden latent process at the ...
Selwa Rafi, Marc Castella, Wojciech Pieczynski
ESWA
2008
292views more  ESWA 2008»
13 years 4 months ago
Web mining based on Growing Hierarchical Self-Organizing Maps: Analysis of a real citizen web portal
This work is focused on the usage analysis of a citizen web portal, Infoville XXI (http://www.infoville.es) by means of Self-Organizing Maps (SOM). In this paper, a variant of the...
Antonio Soriano-Asensi, José David Mart&iac...
RSFDGRC
2005
Springer
187views Data Mining» more  RSFDGRC 2005»
13 years 10 months ago
Handling Missing Attribute Values in Preterm Birth Data Sets
The objective of our research was to find the best approach to handle missing attribute values in data sets describing preterm birth provided by the Duke University. Five strategi...
Jerzy W. Grzymala-Busse, Linda K. Goodwin, Witold ...
PKDD
1999
Springer
272views Data Mining» more  PKDD 1999»
13 years 8 months ago
Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation
Abstract. In many applications of data mining a - sometimes considerable - part of the data values is missing. This may occur because the data values were simply never entered into...
A. J. Feelders
JMLR
2010
156views more  JMLR 2010»
12 years 11 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 ...