图 书 馆
dynammo：共同进化序列的缺失值的挖掘和总结DynaMMo: Mining and Summarization of Coevolving Sequences with Missing Values |
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| 课程网址: | http://videolectures.net/kdd09_faloutsos_dynammomscsmv/ |
| 主讲教师: | Christos Faloutsos |
| 开课单位: | 卡内基梅隆大学 |
| 开课时间: | 2009-12-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discover hidden variables and learn their dynamics, making our algorithm able to function even when there are missing values. We performed experiments on both real and synthetic datasets spanning several megabytes, including motion capture sequences and chlorine levels in drinking water. We show that our proposed DynaMMo method (a) can successFully learn the latent variables and their evolution; (b) can provide high compression for little loss of reconstruction accuracy; (c) can extract compact but powerful features for segmentation, interpretation, and forecasting; (d) has complexity linear on the duration of sequences. |
| 关 键 词: | 潜变量; 高压缩; 线性序列 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-29：zyk |
| 阅读次数: | 46 |