325 search results - page 6 / 65 » Predicting Computer System Failures Using Support Vector Mac... |
85
Voted
ICMLA
2003
14 years 11 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...
ICASSP
2007
IEEE
15 years 3 months ago
2007
IEEE
In this paper, we analyze the convergence of an iterative selftraining semi-supervised support vector machine (SVM) algorithm, which is designed for classi cation in small trainin...
60
Voted
ACMSE
2006
ACM
15 years 3 months ago
2006
ACM
Support Vector Machines (SVMs) have successfully shown efficiencies in many areas such as text categorization. Although recommendation systems share many similarities with text ca...
88
Voted
KDD
2002
ACM
15 years 10 months ago
2002
ACM
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
96
Voted
PKDD
2010
Springer
14 years 8 months ago
2010
Springer
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...