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二元实验的辨析与生成观

Discriminative and Generative Views of Binary Experiments
课程网址: http://videolectures.net/nipsworkshops09_williamson_dgvbe/  
主讲教师: Robert C. Williamson
开课单位: 澳大利亚国立大学
开课时间: 2010-03-26
课程语种: 英语
中文简介:
我们考虑二元实验(有两种不同标签的监督学习问题)并探索它们的两种观点之间的正式关系,我们称之为“生成性”和“歧视性”。歧视性观点涉及预期的损失。生成视角(在我们意义上)涉及类条件分布之间的距离。我们将已知结果扩展到所有适当损失(评分规则)和所有f偏差作为分布之间的距离。我们还概述了如何从生成角度推导出SVM和MMD算法。
课程简介: We consider Binary experiments (supervised learning problems where there are two different labels) and explore formal relationships between two views of them, which we call “generative” and “discriminative”. The discriminative perspective involves an expected loss. The generative perspective (in our sense) involves the distances between class-conditional distributions. We extend known results to the class of all proper losses (scoring rules) and all f-divergences as distances between distributions. We also sketch how one can derive the SVM and MMD algorithms from the generative perspective.
关 键 词: 二元实验; 监督学习; 生成角度
课程来源: 视频讲座网
最后编审: 2019-09-07:lxf
阅读次数: 67