80 search results - page 6 / 16 » Robust imputation method for missing values in microarray da... |
JMLR
2006
13 years 9 months ago
2006
We propose a novel second order cone programming formulation for designing robust classifiers which can handle uncertainty in observations. Similar formulations are also derived f...
ICPR
2004
IEEE
14 years 11 months ago
2004
IEEE
DNA microarrays have gained widespread uses in biological studies. Missing values in a microarray experiment must be estimated before further analysis. In this paper, we propose a...
ICASSP
2009
IEEE
14 years 4 months ago
2009
IEEE
In previous work we introduced a new missing data imputation method for ASR, dubbed sparse imputation. We showed that the method is capable of maintaining good recognition accurac...
BMCBI
2010
13 years 10 months ago
2010
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
NIPS
2004
13 years 11 months ago
2004
We propose a convex optimization based strategy to deal with uncertainty in the observations of a classification problem. We assume that instead of a sample (xi, yi) a distributio...