图 书 馆
促进DL概念学习者Boosting DL Concept Learners |
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| 课程网址: | http://videolectures.net/eswc2019_rizzo_boosting_concepts/ |
| 主讲教师: | Giuseppe Rizzo |
| 开课单位: | 巴斯大学计算机科学系 |
| 开课时间: | 2019-09-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We present a method for boosting relational classifiers of individual resources in the context of the Web of Data. We show how weak classifiers induced by simple concept learners can be enhanced producing strong classification models from training datasets. Even more so the comprehensibility of the model is to some extent preserved as it can be regarded as a sort of concept in disjunctive form. We demonstrate the application of this approach to a weak learner that is easily derived from learners that search a space of hypotheses, requiring an adaptation of the underlying heuristics to take into account weighted training examples. An experimental evaluation on a variety of artificial learning problems and datasets shows that the proposed approach enhances the performance of the basic learners and is competitive, outperforming current concept learning systems. |
| 关 键 词: | 数据网上下文; 数据科学; 促进DL概念学习者; 强分类模型; 单个资源的关系分类器 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-10-13：cyh |
| 最后编审: | 2022-10-13：cyh |
| 阅读次数: | 30 |