62 search results - page 12 / 13 » A Beta-Mixture Model for Dimensionality Reduction, Sample Cl... |
COLT
2010
Springer
13 years 3 months ago
2010
Springer
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
BMCBI
2005
13 years 5 months ago
2005
Background: Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. As many import...
BMCBI
2008
13 years 5 months ago
2008
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
BIOINFORMATICS
2006
13 years 5 months ago
2006
Motivation: High-throughput technologies for rapid measurement of vast numbers of biological variables offer the potential for highly discriminatory diagnosis and prognosis; howev...
CIKM
2010
Springer
13 years 3 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...