Fast multiple instance learning via L1,2 logistic regression

In this paper, we develop an efficient logistic regression model for multiple instance learning that combines L 1 and L 2 regularisation techniques. An L 1 regularised logistic regression model is first learned to find out the sparse pattern of the features. To train the L 1 model efficiently, we em...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Zhouyu Fu, Robles-Kelly, A.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Australia Bandwidth Cost function Logistics Machine learning Newton method Optimization methods Supervised learning Support vector machine classification Support vector machines
Online-Zugang:	Volltext bestellen
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