Probabilistic user interfaces
published: Feb. 25, 2007, recorded: September 2004, views: 97
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
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.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !