图 书 馆
使用校正滤波器进行分类的多分类器系统增量学习Incremental Learning with Multiple Classifier Systems Using Correction Filters for Classification |
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| 课程网址: | http://videolectures.net/ida07_campo_avila_ilwmcs/ |
| 主讲教师: | José del Campo-Ávila |
| 开课单位: | 马拉加大学 |
| 开课时间: | 2007-10-08 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Classification is a quite relevant task within data mining area. This task is not trivial and some difficulties can arise depending on the nature of the problem. Multiple classifier systems have been used to construct ensembles of base classifiers in order to solve or alleviate some of those problems. One of the most current problems that is being studied in recent years is how to learn when the datasets are too large or when new information can arrive at any time. In that case, incremental learning is an approach that can be used. Some works have used multiple classifier system to learn in an incremental way and the results are very promising. The aim of this paper is to propose a method for improving the classification (or prediction) accuracy reached by multiple classifier systems in this context. |
| 关 键 词: | 数据挖掘; 分类器系统; 增量学习 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-27：lxf |
| 阅读次数: | 61 |