1403 search results - page 9 / 281 » Sampling Techniques for Kernel Methods |
87
Voted
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
We study the use of kernel subspace methods that learn low-dimensional subspace representations for classification tasks. In particular, we propose a new method called kernel weigh...
KDD
2010
ACM
14 years 8 months ago
2010
ACM
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
66
Voted
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We extend tree-based methods to the prediction of structured outputs using a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the...
BMCBI
2011
14 years 4 months ago
2011
Background: When investigating covariate interactions and group associations with standard regression analyses, the relationship between the response variable and exposure may be ...
ICIC
2009
Springer
15 years 4 months ago
2009
Springer
Now the classification of different tumor types is of great importance in cancer diagnosis and drug discovery. It is more desirable to create an optimal ensemble for data analysis ...