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IJCNN
2006
IEEE
14 years 3 months ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...
TKDE
2008
111views more  TKDE 2008»
13 years 9 months ago
A Point Symmetry-Based Clustering Technique for Automatic Evolution of Clusters
In this paper, a new symmetry-based genetic clustering algorithm is proposed which automatically evolves the number of clusters as well as the proper partitioning from a data set. ...
Sanghamitra Bandyopadhyay, Sriparna Saha
ESANN
2004
13 years 10 months ago
Fast semi-automatic segmentation algorithm for Self-Organizing Maps
Self-Organizing Maps (SOM) are very powerful tools for data mining, in particular for visualizing the distribution of the data in very highdimensional data sets. Moreover, the 2D m...
David Opolon, Fabien Moutarde
MLMI
2007
Springer
14 years 3 months ago
Meeting State Recognition from Visual and Aural Labels
In this paper we present a meeting state recognizer based on a combination of multi-modal sensor data in a smart room. Our approach is based on the training of a statistical model ...
Jan Curín, Pascal Fleury, Jan Kleindienst, ...
TSP
2010
13 years 4 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic