Improved Support Vector Machine Multi-classification Algorithm
| العنوان: | Improved Support Vector Machine Multi-classification Algorithm |
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| المؤلفون: | Xiaohong Liu, Qiuna Zhang, Xiujuan Sun, Shufei Lin, Yanwei Zhu, Yongli Zhang |
| المصدر: | Communications in Computer and Information Science ISBN: 9783642163388 ICICA (2) |
| بيانات النشر: | Springer Berlin Heidelberg, 2010. |
| سنة النشر: | 2010 |
| مصطلحات موضوعية: | Seismic facies, Structured support vector machine, business.industry, Computer science, Improved method, Machine learning, computer.software_genre, Support vector machine, Relevance vector machine, Statistical classification, Artificial intelligence, Data mining, business, computer, Coding (social sciences) |
| الوصف: | 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. |
| ردمك: | 978-3-642-16338-8 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::42b150a01970a4b9130b7fd1c17172fdTest https://doi.org/10.1007/978-3-642-16339-5_16Test |
| حقوق: | CLOSED |
| رقم الانضمام: | edsair.doi...........42b150a01970a4b9130b7fd1c17172fd |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783642163388 |
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