1950 search results - page 7 / 390 » Informative sampling for large unbalanced data sets |
ISNN
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
NIPS
2004
13 years 9 months ago
2004
Dominant sets are a new graph-theoretic concept that has proven to be relevant in pairwise data clustering problems, such as image segmentation. They generalize the notion of a ma...
HIPC
2009
Springer
13 years 5 months ago
2009
Springer
- In this paper, we present a tool to extract I/O traces from very large applications running at full scale during their production runs. We analyze these traces to gain informatio...
ICDM
2002
IEEE
14 years 17 days ago
2002
IEEE
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...