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| Title | A Note on Multi-topic Document Classification Method Based upon Statistical Decision Theory (in Japanese) |
|---|---|
| Authors | Yasunari MAEDA 、Hideki YOSHIDA 、Yoshitaka FUJIWARA 、Toshiyasu MATSUSHIMA |
| Released Year | 2005 |
| Format | Conference |
| Category | Knowledge information processing |
| Jounal Name | IEICE technical report |
| Jounal Page | vol.105, no.665, IT2005-89, pp.147-152 |
| Published Year | 2006 |
| Published Month | 3 |
| Abstract （English） |
In this paper we treat multi-topic document classification problem. In previous researches some theoretical optimality is guaranteed when the number of data for learning is infinite. We propose new multi-topic document classification methods that minimize error rate with reference to the Bayes criterion when the number of data for learning is finite. And we also propose approximate algorithms in order to reduce computational complexity. |
| Note （English） |
1 |
| Manuscript | |
| Presentation |
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