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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zengzhao Chen Yang Yang Xiuling He Cailin Dong |
| Copyright Year | 2006 |
| Description | Author affiliation: Inf. Sch. of Univ. of Sci. & Technol., Beijing (Zengzhao Chen; Yang Yang; Xiuling He) |
| Abstract | The method of multi-class classification based support vector machines is researched. After comparing some common multi-class SVMS, and proposes a multi-class classified method based on similar binary tree. The constructing algorithm of similar binary tree is given and its effectivity is discussed. Experiment results show that the algorithm improves the classifying speed without debasing the classifying precision |
| Starting Page | 10041 |
| Ending Page | 10044 |
| File Size | 185883 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424403324 |
| DOI | 10.1109/WCICA.2006.1713963 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Classification tree analysis Support vector machines Support vector machine classification Binary trees Electronic mail Helium Optimal control Mathematics Character recognition Virtual colonoscopy similar binary tree support vector machine multi-class classification Chinese character recognition |
| Content Type | Text |
| Resource Type | Article |
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