509 search results - page 16 / 102 » Support Vector Machines: Theory and Applications |
NECO
2008
13 years 8 months ago
2008
We describe a fast Sequential Minimal Optimization (SMO) procedure for solving the dual optimization problem of the recently proposed Potential Support Vector Machine (P-SVM). The...
KDD
2004
ACM
14 years 1 months ago
2004
ACM
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
CGF
2005
13 years 8 months ago
2005
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
ECML
2004
Springer
14 years 1 months ago
2004
Springer
Support Vector Machines (SVM) have been extensively studied and have shown remarkable success in many applications. However the success of SVM is very limited when it is applied to...
CORR
2008
Springer
13 years 8 months ago
2008
Springer
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...