936 search results - page 38 / 188 » Learning with Rigorous Support Vector Machines |
ICML
2005
IEEE
16 years 20 days ago
2005
IEEE
This paper presents a Support Vector Method for optimizing multivariate nonlinear performance measures like the F1score. Taking a multivariate prediction approach, we give an algo...
ICML
2001
IEEE
16 years 20 days ago
2001
IEEE
In this paper, we propose a unified non-quadratic loss function for regression known as soft insensitive loss function (SILF). SILF is a flexible model and possesses most of the d...
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ICML
2010
IEEE
15 years 28 days ago
2010
IEEE
We propose a novel approach that reduces cost-sensitive classification to one-sided regression. The approach stores the cost information in the regression labels and encodes the m...
JMLR
2006
14 years 11 months ago
2006
Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM ...
CIRA
2007
IEEE
15 years 6 months ago
2007
IEEE
—Support vector regression (SVR) is a class of machine learning technique that has been successfully applied to low-level learning control in robotics. Because of the large amoun...