贝叶斯局部多核学习Bayesian Localized Multiple Kernel Learning |
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课程网址: | http://videolectures.net/nipsworkshops09_christoudias_blmk/ |
主讲教师: | C. Mario Christoudias |
开课单位: | 麻省理工学院 |
开课时间: | 2010-01-19 |
课程语种: | 英语 |
中文简介: | 机器学习中的许多问题涉及由多个视图组成的数据集。可以在单个输入(例如,多个图像特征类型)上或从多个信息源(例如,音频和视频)定义单独的视图。在此上下文中,每个视图可以提供对基础类或感兴趣事件的冗余指示,这对于分类是有用的。 |
课程简介: | Many problems in machine learning involve datasets that are comprised of multiple views. The separate views can be defined over a single input (e.g., multiple image feature types), or from multiple information sources (e.g., audio and video). In this context, each view can provide a redundant indication of the underlying class or event of interest, useful for classification. |
关 键 词: | 机器学习; 信息源; 视图 |
课程来源: | 视频讲座网 |
最后编审: | 2019-09-07:lxf |
阅读次数: | 38 |