711 search results - page 35 / 143 » Applying Support Vector Machines to Imbalanced Datasets |
INFORMATICALT
2011
13 years 2 months ago
2011
To set the values of the hyperparameters of a support vector machine (SVM), the method of choice is cross-validation. Several upper bounds on the leave-one-out error of the pattern...
WCE
2007
13 years 9 months ago
2007
– In this paper we perform a t-test for significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare several computa...
NIPS
2008
13 years 9 months ago
2008
In classification problems, Support Vector Machines maximize the margin of separation between two classes. While the paradigm has been successful, the solution obtained by SVMs is...
ICCV
2007
IEEE
14 years 2 months ago
2007
IEEE
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...
AAAI
2007
13 years 10 months ago
2007
We describe an application of machine learning to the problem of geomorphic mapping of planetary surfaces. Mapping landforms on planetary surfaces is an important task and the fi...