331 search results - page 12 / 67 » Robustness, Risk, and Regularization in Support Vector Machi... |
ECML
2004
Springer
14 years 27 days ago
2004
Springer
Support Vector Machines (SVM) have been extensively studied and have shown remarkable success in many applications. However the success of SVM is very limited when it is applied to...
NIPS
2004
13 years 8 months ago
2004
The standard approach to the classification of objects is to consider the examples as independent and identically distributed (iid). In many real world settings, however, this ass...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Support vector machines (SVMs) have become one of the most promising techniques for relevance feedback in content-based image retrieval (CBIR). Typical SVM-based relevance feedbac...
IWANN
2009
Springer
14 years 2 months ago
2009
Springer
This work proposes the use of maximal variation analysis for feature selection within least squares support vector machines for survival analysis. Instead of selecting a subset of ...
PAKDD
2011
ACM
12 years 10 months ago
2011
ACM
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...