图 书 馆
结构化数据学习-结构化输出Learning with structured data - structured outputs |
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| 课程网址: | http://videolectures.net/mmdss07_gallinari_lsd/ |
| 主讲教师: | Patrick Gallinari |
| 开课单位: | 巴黎第六大学 |
| 开课时间: | 2007-11-26 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We focus on the prediction of structured outputs. A classical example is sequence labeling with applications in speech, vision, natural language or biology. Beyond sequences, the prediction of structured data, like trees, lattices or graphs also occurs in many domains. Structured prediction is usually considered as an extension of multi-class classification. It is considered as a challenging problem since the size of the output space increases drastically with the number of potential dependencies between output variables. Several methods have been recently proposed in the ML community in order to overcome this complexity and the domain is still largely open. We will provide a review of these methods and discuss there potential and limitations. These different ideas will be illustrated with Natural language processing and text mining applications. |
| 关 键 词: | 结构化产出; 序列标记; 文本挖掘 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-07-24：cwx |
| 阅读次数: | 40 |