50 search results - page 7 / 10 » Supervised group Lasso with applications to microarray data ... |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
BMCBI
2007
13 years 7 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
BMCBI
2010
13 years 7 months ago
2010
Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...
CIKM
2010
Springer
13 years 5 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, ...
BMCBI
2010
13 years 7 months ago
2010
Background: In many microarray experiments, analysis is severely hindered by a major difficulty: the small number of samples for which expression data has been measured. When one ...