1244 search results - page 45 / 249 » A Simple Decomposition Method for Support Vector Machines |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Recently, applying the novel data mining techniques for evaluating enterprise financial distress has received much research alternation. Support Vector Machine (SVM) and back prop...
ICML
2008
IEEE
14 years 10 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...
CORR
2008
Springer
13 years 9 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...
IDEAL
2010
Springer
13 years 6 months ago
2010
Springer
Based on studies and experiments on the loss term of SVMs, we argue that 1-norm measurement is better than 2-norm measurement for outlier resistance. Thus, we modify the previous 2...
AAAI
2011
12 years 9 months ago
2011
Semi-supervised support vector machines (S3VMs) are a kind of popular approaches which try to improve learning performance by exploiting unlabeled data. Though S3VMs have been fou...