1118 search results - page 13 / 224 » Data Mining via Support Vector Machines |
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Censored targets, such as the time to events in survival analysis, can generally be represented by intervals on the real line. In this paper, we propose a novel support vector tec...
AAAI
2006
14 years 11 months ago
2006
One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitig...
KDD
2004
ACM
15 years 10 months ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...