22 search results - page 2 / 5 » Principal Component Analysis for Large Scale Problems with L... |
OSDI
2008
ACM
14 years 4 months ago
2008
ACM
The console logs generated by an application contain messages that the application developers believed would be useful in debugging or monitoring the application. Despite the ubiq...
APPT
2005
Springer
13 years 10 months ago
2005
Springer
Identifying the patterns of large data sets is a key requirement in data mining. A powerful technique for this purpose is the principal component analysis (PCA). PCA-based clusteri...
BMCBI
2006
13 years 4 months ago
2006
Background: Missing value estimation is an important preprocessing step in microarray analysis. Although several methods have been developed to solve this problem, their performan...
APWEB
2005
Springer
13 years 10 months ago
2005
Springer
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...
TNN
2008
13 years 4 months ago
2008
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...