Multi-category Classification by Soft-Max Combination of Binary Classifiers

In this paper, we propose a multi-category classification method that combines binary classifiers through soft-max function. Posteriori probabilities are also obtained. Both, one-versus-all and one-versus- one classifiers can be used in the combination. Empirical comparison shows that the proposed m...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Duan, Kaibo, Keerthi, S. Sathiya, Chu, Wei, Shevade, Shirish Krishnaj, Poo, Aun Neow
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Learning and adaptive systems Negative Label Positive Label Posteriori Probability Support Vector Machine Test Error Rate
Online-Zugang:	Volltext
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