Sciweavers

Share
UM
2005
Springer

Bayesphone: Precomputation of Context-Sensitive Policies for Inquiry and Action in Mobile Devices

9 years 3 months ago
Bayesphone: Precomputation of Context-Sensitive Policies for Inquiry and Action in Mobile Devices
Inference and decision making with probabilistic user models may be infeasible on portable devices such as cell phones. We highlight the opportunity for storing and using precomputed inferences about ideal actions for future situations, based on offline learning and reasoning with the user models. As a motivating example, we focus on the use precomputation of call-handling policies for cell phones. The methods hinge on the learning of Bayesian user models for predicting whether users will attend meetings on their calendar and the cost of being interrupted by incoming calls should a meeting be attended.
Eric Horvitz, Paul Koch, Raman Sarin, Johnson Apac
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where UM
Authors Eric Horvitz, Paul Koch, Raman Sarin, Johnson Apacible, Muru Subramani
Comments (0)
books