Before revision:  Transfer learning (TL), which can utilize data or knowledge from similar or relevant subjects/sessions/devices/tasks to facilitate the learning for a new subject/session/device/task, is frequently used to alleviate this calibration requirement .
After revision:  Transfer learning (TL), which can utilize data or knowledge from similar or relevant subjects/sessions/devices/tasks to facilitate the learning for a new subject/session/device/task, is frequently used to reduce the amount of calibration effort .