389 search results - page 19 / 78 » Rank Selection in Multidimensional Data |
ISNN
2004
Springer
14 years 27 days ago
2004
Springer
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale pr...
BMCBI
2008
13 years 7 months ago
2008
Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...
BMCBI
2010
13 years 7 months ago
2010
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
BMCBI
2006
13 years 7 months ago
2006
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
DAWAK
2007
Springer
14 years 1 months ago
2007
Springer
Several business applications such as marketing basket analysis, clickstream analysis, fraud detection and churning migration analysis demand gradient data analysis. By employing g...