Anzeige
Erschienen in:
2005 | OriginalPaper | Buchkapitel
Learning Classifiers Using Hierarchically Structured Class Taxonomies
verfasst von : Feihong Wu, Jun Zhang, Vasant Honavar
Erschienen in: Abstraction, Reformulation and Approximation
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
We consider classification problems in which the class labels are organized into an abstraction hierarchy in the form of a class taxonomy. We define a structured label classification problem. We explore two approaches for learning classifiers in such a setting. We also develop a class of performance measures for evaluating the resulting classifiers. We present preliminary results that demonstrate the promise of the proposed approaches.