512 search results - page 35 / 103 » Tangent Distance Kernels for Support Vector Machines |
159
Voted
TNN
2008
15 years 3 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) ...
151
Voted
BMCBI
2007
15 years 3 months ago
2007
Background: There is a large amount of microarray data accumulating in public databases, providing various data waiting to be analyzed jointly. Powerful kernel-based methods are c...
134
Voted
ICPR
2006
IEEE
16 years 4 months ago
2006
IEEE
A two-class imbalanced data problem (IDP) emerges when the data from majority class are compactly clustered and the data from minority class are scattered. Though a discriminative...
135
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...
121
Voted
PKDD
2009
Springer
15 years 10 months ago
2009
Springer
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...