图 书 馆
采用统计模式识别的序列分类Sequence Classification Using Statistical Pattern Recognition |
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| 课程网址: | http://videolectures.net/ida07_iglesias_scuspr/ |
| 主讲教师: | José Antonio Iglesias |
| 开课单位: | 马德里卡洛斯三世大学 |
| 开课时间: | 2001-10-08 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Sequence classification is a significant problem that arises in many different real-world applications. The purpose of a sequence classifier is to assign a class label to a given sequence. Also, to obtain the pattern that characterizes the sequence is usually very useful. In this paper, a technique to discover a pattern from a given sequence is presented followed by a general novel method to classify the sequence. This method considers mainly the dependencies among the neighbouring elements of a sequence. In order to evaluate this method, a UNIX command environment is presented, but the method is general enough to be applied to other environments. |
| 关 键 词: | 序列分类; 相邻元素; 应用程序 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-19：cxin |
| 阅读次数: | 19 |