科技报告详细信息
| An Artificial Immune System Approach To Semantic Document Classification | |
| Greensmith, Julie ; Cayzer, Steve | |
| HP Development Company | |
| 关键词: artificial immune system; semantic web; document classification; machine learning; | |
| RP-ID : HPL-2003-141 | |
| 学科分类:计算机科学(综合) | |
| 美国|英语 | |
| 来源: HP Labs | |
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【 摘 要 】
AIRS, a resource limited artificial immune classifier system, has performed well on elementary classification tasks. This paper proposes the use of this system for the more complex task of hierarchical, multi-class document classification. This information can then be applied to the realm of taxonomy mapping, an active research area with far reaching implications. Our motivation comes from the use of a personal semantic structure for ease of navigation within a set of Internet based documents. 11 Pages
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201804100000710LZ | 184KB |
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