306 search results - page 4 / 62 » Risk sensitive robust support vector machines |
PAKDD
2005
ACM
13 years 11 months ago
2005
ACM
Abstract. Hard margin support vector machines (HM-SVMs) have a risk of getting overfitting in the presence of the noise. Soft margin SVMs deal with this
NIPS
2003
13 years 7 months ago
2003
The decision functions constructed by support vector machines (SVM’s) usually depend only on a subset of the training set—the so-called support vectors. We derive asymptotical...
IROS
2006
IEEE
13 years 11 months ago
2006
IEEE
— This paper describes a panoramic view-based navigation in outdoor environments. We have been developing a two-phase navigation method. In the training phase, the robot acquires...
JMLR
2008
13 years 5 months ago
2008
The support vector machine has been successful in a variety of applications. Also on the theoretical front, statistical properties of the support vector machine have been studied ...
ICMLA
2003
13 years 7 months ago
2003
— Using the 1998 DARPA BSM data set collected at MIT’s Lincoln Labs to study intrusion detection systems, the performance of robust support vector machines (RVSMs) was compared...