Training a reciprocal-sigmoid classifier by feature scaling-space

This paper presents a reciprocal-sigmoid model for pattern classification. This proposed classifier can be considered as a Φ-machine since it preserves the theoretical advantage of linear machines where the weight parameters can be estimated in a single step. The model can also be considered as an a...

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Veröffentlicht in:	Machine learning 2006-10, Vol.65 (1), p.273-308
1. Verfasser:	TOH, Kar-Ann
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Generalized linear models Studies
Online-Zugang:	Volltext
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