331 search results - page 9 / 67 » Robustness, Risk, and Regularization in Support Vector Machi... |
NIPS
2004
13 years 8 months ago
2004
We describe an algorithm for support vector machines (SVM) that can be parallelized efficiently and scales to very large problems with hundreds of thousands of training vectors. I...
DAM
2008
13 years 7 months ago
2008
Support Vector Machine has shown to have good performance in many practical classification settings. In this paper we propose, for multi-group classification, a biobjective optimi...
EOR
2007
13 years 7 months ago
2007
In recent years, Support Vector Machines (SVMs) were successfully applied to a wide range of applications. Their good performance is achieved by an implicit non-linear transformat...
JMLR
2010
13 years 6 months ago
2010
Leading classification methods such as support vector machines (SVMs) and their counterparts achieve strong generalization performance by maximizing the margin of separation betw...
DATAMINE
1998
13 years 7 months ago
1998
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...