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序列标签支持向量机的训练在一通Sequence Labelling SVMs Trained in One Pass |
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| 课程网址: | http://videolectures.net/ecmlpkdd08_bordes_slst/ |
| 主讲教师: | Léon Bottou; Nicolas Usunier; Antoine Bordes |
| 开课单位: | 巴黎皮埃尔玛丽居里大学 |
| 开课时间: | 2008-10-10 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This paper proposes an online solver of the dual formulation of support vector machines for structured output spaces. We apply it to sequence labelling using the exact and greedy inference schemes. In both cases, the per-sequence training time is the same as a perceptron based on the same inference procedure, up to a small multiplicative constant. Comparing the two inference schemes, the greedy version is much faster. It is also amenable to higher order Markov assumptions and performs similarly on test. In comparison to existing algorithms, both versions match the accuracies of batch solvers that use exact inference after a single pass over the training examples. |
| 关 键 词: | 支持向量机; 计算机科学; 标签 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-07：lxf |
| 阅读次数: | 35 |