371 search results - page 13 / 75 » Learning to match and cluster large high-dimensional data se... |
DILS
2004
Springer
14 years 1 months ago
2004
Springer
Meaningfully integrating massive multi-experimental genomic data sets is becoming critical for the understanding of gene function. We have recently proposed methodologies for integ...
DAWAK
2004
Springer
14 years 1 months ago
2004
Springer
Visualization techniques provide an outstanding role in KDD process for data analysis and mining. However, one image does not always convey successfully the inherent information fr...
PREMI
2005
Springer
14 years 1 months ago
2005
Springer
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
AIME
2007
Springer
14 years 1 months ago
2007
Springer
Many machines used in the modern hospital settings offer real time physiological monitoring. Haemodialysis machines combine a therapeutic treatment system integrated with sophistic...
DAGM
2008
Springer
13 years 9 months ago
2008
Springer
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...