In this paper we study a dynamic sensor selection method for Bayesian filtering problems. In particular we consider the distributed Bayesian Filtering strategy given in [1] and sh...
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...
Preference-based search is the problem of finding an item that matches best with a user's preferences. User studies show that example-based tools for preference-based search c...
Dynamic plan execution strategies allow an autonomous agent to respond to uncertainties while improving robustness and reducing the need for an overly conservative plan. Executive...
Patrick R. Conrad, Julie A. Shah, Brian C. William...
Utility elicitation is an important component of many applications, such as decision support systems and recommender systems. Such systems query users about their preferences and ...