512 search results - page 17 / 103 » Tangent Distance Kernels for Support Vector Machines |
115
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
We have developed a new Linear Support Vector Machine (SVM) training algorithm called OCAS. Its computational effort scales linearly with the sample size. In an extensive empirica...
126
Voted
AAAI
2008
15 years 6 months ago
2008
This work addresses the problem of in-the-dark traffic classification for TCP sessions, an important problem in network management. An innovative use of support vector machines (S...
129
Voted
COLING
2002
15 years 3 months ago
2002
This paper proposes a learning and extracting method of word sequence correspondences from non-aligned parallel corpora with Support Vector Machines, which have high ability of th...
124
Voted
NAACL
2001
15 years 5 months ago
2001
We apply Support Vector Machines (SVMs) to identify English base phrases (chunks). SVMs are known to achieve high generalization performance even with input data of high dimension...
115
Voted
COLT
2005
Springer
15 years 9 months ago
2005
Springer
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...