Sciweavers

45 search results - page 4 / 9
» Two-dimensional solution path for support vector regression
Sort
View
ICDM
2007
IEEE
109views Data Mining» more  ICDM 2007»
14 years 2 days ago
A Support Vector Approach to Censored Targets
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...
Pannagadatta K. Shivaswamy, Wei Chu, Martin Jansch...
MICCAI
2006
Springer
14 years 6 months ago
The Entire Regularization Path for the Support Vector Domain Description
Abstract. The support vector domain description is a one-class classification method that estimates the shape and extent of the distribution of a data set. This separates the data ...
Karl Sjöstrand, Rasmus Larsen
ICML
2007
IEEE
14 years 6 months ago
Sparse probabilistic classifiers
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
Romain Hérault, Yves Grandvalet
NIPS
2003
13 years 7 months ago
Margin Maximizing Loss Functions
Margin maximizing properties play an important role in the analysis of classi£cation models, such as boosting and support vector machines. Margin maximization is theoretically in...
Saharon Rosset, Ji Zhu, Trevor Hastie
WWW
2001
ACM
14 years 6 months ago
A constraint extension to scalable vector graphics
Scalable Vector Graphics (SVG) is a language developed by the World Wide Web Consortium for describing two dimensional vector graphics for storage and distribution on the Web. Unl...
Greg J. Badros, Jojada J. Tirtowidjojo, Kim Marrio...