1006 search results - page 130 / 202 » A Case Study for Learning from Imbalanced Data Sets |
ASPLOS
1996
ACM
14 years 2 months ago
1996
ACM
Branch prediction is an important mechanism in modern microprocessor design. The focus of research in this area has been on designing new branch prediction schemes. In contrast, v...
ALMOB
2008
13 years 10 months ago
2008
Background: One of the goals of global metabolomic analysis is to identify metabolic markers that are hidden within a large background of data originating from high-throughput ana...
ICONIP
2007
13 years 11 months ago
2007
We introduce a new unsupervised fMRI analysis method based on Kernel Canonical Correlation Analysis which differs from the class of supervised learning methods that are increasing...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
Variable selection for cluster analysis is a difficult problem. The difficulty originates not only from the lack of class information but also the fact that high-dimensional data ...
BIBE
2004
IEEE
14 years 1 months ago
2004
IEEE
Large-scale biomedical data sets of macromolecular structures such as DNA and proteins describe highly complex biomolecular entities which often consist of thousands of atoms and ...