Extremal Class

Extremal classes, a specific type of concept class in machine learning, are the focus of ongoing research aimed at understanding their properties and implications for learning algorithms. Current work investigates the limitations of embedding arbitrary classes into extremal classes, particularly concerning sample compression schemes and the relationship between VC dimension and dual VC dimension. These studies are significant because they shed light on fundamental limits of learnability and inform the design of more efficient and robust learning algorithms, impacting both theoretical understanding and practical applications like improved classification of extreme classes in ordinal data.