Multiple Instance Learning via Semi-supervised Laplacian TSVM

Multiple instance learning attempts to learn from a training set consists of labeled bags each containing many unlabeled instances. In previous works, most existing algorithms mainly pay attention to the ‘most positive’ instance in each positive bag, but ignore the other instances. For utilizing the...

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Veröffentlicht in:	Neural processing letters 2017-08, Vol.46 (1), p.219-232
Hauptverfasser:	Gao, Xizhan, Sun, Quansen, Xu, Haitao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Complex Systems Computational Intelligence Computer Science Data mining Image retrieval Linear programming Machine learning Optimization Regularization Support vector machines
Online-Zugang:	Volltext
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