Boundary examples are at or near the boundary between classes; they may be taken from training data or generated algothmically. It can be useful to identify boundary examples during machine learning as they are places where mis-classifications are likely and hence may be more heavily weighted to ensure accurate boundary behaviour. Boundary examples can also be used as part of explainable AI in order to help a human understand classes created by an AI system.
Used in Chap. 21: page 337
Identifying central and boundary examples