Name
Abstract | ||
|---|---|---|
After support vector machine multi-class classification algorithms was studied, a kind of improved method of support vector machine for multi-class problems was given in this paper. After experimenting, it is better than one-against-one Method and one-against-the rest Method. This support vector machine for multi-class method saves time and enhances precision of forecast. This improved multi-class method is used to class seismic facies. The precision of forecast is very high. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-16339-5_16 | INFORMATION COMPUTING AND APPLICATIONS, PT 2 |
Keywords | Field | DocType |
support vector machine, multi-classification, seismic data, coding | Structured support vector machine,Data mining,Method of support,Computer science,Support vector machine,Coding (social sciences),Artificial intelligence,Relevance vector machine,Statistical classification,Machine learning | Conference |
Volume | Issue | ISSN |
106 | PART 2 | 1865-0929 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yanwei Zhu | 1 | 10 | 3.64 |
| Yongli Zhang | 2 | 1 | 1.13 |
| Shu-Fei Lin | 3 | 4 | 4.57 |
| Xiujuan Sun | 4 | 0 | 0.68 |
| Qiuna Zhang | 5 | 0 | 0.68 |
| Xiaohong Liu | 6 | 0 | 0.34 |