图 书 馆
结构SVM的结构化输出预测Structured Output Prediction with Structural SVMs |
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| 课程网址: | http://videolectures.net/mlg08_joachims_sop/ |
| 主讲教师: | Thorsten Joachims |
| 开课单位: | 康奈尔大学 |
| 开课时间: | 2008-08-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This talk explores large-margin approaches to predicting graph-based objects like trees, clusterings, or alignments. Such problems arise, for example, when a natural language parser needs to predict the correct parse tree for a given sentence, when one needs to determine the co-reference relationships of noun-phrases in a document, or when predicting the alignment between two proteins. In particular, the talk will show how structural SVMs can learn such complex prediction rules, using the problems of supervised clustering, protein sequence alignment, and diversification in search engines as application examples. Furthermore, the talk will present new cutting-plane algorithms that allows training of structural SVMs in time linear in the number of training examples. |
| 关 键 词: | 预测规则; 切割平面算法; 时间线性 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-06-30：cjy |
| 阅读次数: | 26 |