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监管的程度

Degrees of Supervision
课程网址: http://videolectures.net/nipsworkshops2011_garcia_garcia_supervis...  
主讲教师: Dario Garcia Garcia
开课单位: 澳大利亚国立大学
开课时间: 2012-01-25
课程语种: 英语
中文简介:
许多机器学习问题可以被解释为对学习过程提供的监督水平不同。在这项工作中,我们提供了一种统一的方式来处理这些不同程度的监督。我们展示了为适应这一愿景而开发的框架如何处理分类和聚类之间的连续性,同时自然地适应较少的标准设置,例如从标签比例学习,多实例学习......所有这些都来自一个简单的共同原则:如有疑问,请假设数据上存在最简单的分类问题。
课程简介: Many machine learning problems can be interpreted as differing just in the level of supervision provided to the learning process. In this work we provide a unifying way of dealing with these different degrees of supervision. We show how the framework developed to accommodate this vision can deal with the continuum between classification and clustering, while also naturally accommodating less standard settings such as learning from label proportions, multiple instance learning,...All this emanates from a simple common principle: when in doubt, assume the simplest possible classification problem on the data.
关 键 词: 机器学习; 标签比例学习; 多实例学习
课程来源: 视频讲座网
最后编审: 2019-09-07:lxf
阅读次数: 35