53 search results - page 3 / 11 » Support Vector Machine for Regression and Applications to Fi... |
NIPS
1996
13 years 8 months ago
1996
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
ML
2008
ACM
13 years 7 months ago
2008
ACM
This paper explores the addition of constraints to the linear programming formulation of the support vector regression problem for the incorporation of prior knowledge. Equality an...
CORR
2008
Springer
13 years 7 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...
JSS
2008
13 years 7 months ago
2008
Effective prediction of defectprone software modules can enable software developers to focus quality assurance activities and allocate effort and resources more efficiently. Supp...
ISCI
2008
13 years 7 months ago
2008
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...