图 书 馆
利用噪声查询学习有效检索结构化数据Learning for Efficient Retrieval of Structured Data with Noisy Queries |
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| 课程网址: | http://videolectures.net/icml07_parker_ler/ |
| 主讲教师: | Charles Parker |
| 开课单位: | 俄勒冈州立大学 |
| 开课时间: | 2007-07-27 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Increasingly large collections of structured data necessitate the development of efficient, noise-tolerant retrieval tools. In this work, we consider this issue and describe an approach to learn a similarity function that is not only accurate, but that also increases the effectiveness of retrieval data structures. We present an algorithm that uses functional gradient boosting to maximize both retrieval accuracy and the retrieval efficiency of vantage point trees. We demonstrate the effectiveness of our approach on two datasets, including a moderately sized real-world dataset of folk music. |
| 关 键 词: | 结构化数据; 学习相似度函数; 检索数据 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-17：lxf |
| 阅读次数: | 52 |