图 书 馆
MAP推理的增广对偶分解Augmenting Dual Decomposition for MAP Inference |
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| 课程网址: | http://videolectures.net/nipsworkshops2010_martins_add/ |
| 主讲教师: | André F. T. Martins |
| 开课单位: | 卡内基梅隆大学 |
| 开课时间: | 2011-01-13 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In this paper, we propose combining augmented Lagrangian optimization with the dual decomposition method to obtain a fast algorithm for approximate MAP (maximum a posteriori) inference on factor graphs. We also show how the proposed algorithm can efficiently handle problems with (possibly global) structural constraints. The experimental results reported testify for the state-of-the-art performance of the proposed approach. |
| 关 键 词: | 拉格朗日优化; 双重分解; 因子图 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-07：lxf |
| 阅读次数: | 64 |