We describe a methodology for representing and optimizing user preferences on plans. Our approach differs from previous work on plan optimization in that we employ a generalizatio...
Gregg Rabideau, Barbara Engelhardt, Steve A. Chien
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
Auditory display research for driving has mainly focused on collision warning signals, and recent studies on auditory invehicle information presentation have examined only a limit...
Myounghoon Jeon, Benjamin K. Davison, Michael A. N...
In this paper, we study a maximum likelihood estimation (MLE) approach to preference aggregation and voting when the set of alternatives has a multi-issue structure, and the voter...