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概率用户界面

Probabilistic user interfaces
课程网址: http://videolectures.net/mlws04_smith_pui/  
主讲教师: Roderick Murray-Smith
开课单位: 格拉斯哥大学
开课时间: 2007-02-25
课程语种: 英语
中文简介:
最近已经应用高斯过程先验来控制问题。全科医生在模型预测不确定性的表示方面具有优势,并且由于高斯过程的导数是高斯过程,它们还可以包含导数信息,并且在分析上提供模型导数的不确定性。这可以用于实现控制工作的自然正规化,从而产生适当谨慎的控制。它还可用于提供“加速”显示,其考虑了模型的不确定性。我将在模糊或概率用户界面中描述我们的工作,并演示我们开发的一些技术,用于将概率模型与连续控制相结合,并向用户提供系统不确定性的反馈。
课程简介: Gaussian process priors have recently been applied to control problems. The GPs bring advantages in their representation of model prediction uncertainty, and because the derivative of a Gaussian process is a Gaussian process, they can also incorporate derivative information, and analytically provide the uncertainty of model derivatives. This can be used to bring a natural regularization of control effort, resulting in appropriately cautious control. It can also be used to provide a ‘quickened’ display, which takes account of model uncertainty. I will describe our work in ambiguous or probabilistic user interfaces, and demonstrate some of the techniques we have developed for combining probabilistic models with continuous control and for providing feedback of system uncertainty to the user.
关 键 词: 高斯过程; 模型预测; 用户界面
课程来源: 视频讲座网
最后编审: 2019-09-05:lxf
阅读次数: 44