Active Feature Acquisition for Cost-Efficient Temporal Prediction with Reduced Participant Burden

Excerpt

arXiv:2610.07452v1 Announce Type: new Abstract: Accurate forecasting of pathological outcomes is a central problem in psychology. To do so, psychologists often collect intensive longitudinal data. However, in such studies, the desire to acquire a large number of variables for the sake of accurate prediction is often counteracted by the need to minimize participant burden. Acquiring more variables per occasion can yield better predictions, but having too many acquisitions increase the risk of non