Feature Selection With Multi-Source Transfer

Feature selection aims at choosing a subset of features to represent the original feature space. In practice, however, it is hard to achieve desirable performance due to limited training data. To alleviate this issue, we propose a novel problem named feature selection with multi-source transfer wher...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on circuits and systems for video technology 2022-05, Vol.32 (5), p.2638-2646
1. Verfasser:	Zhou, Joey Tianyi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Device-to-device communication Feature extraction Feature selection Linear programming Optimization Performance enhancement Privileged information sparsity optimization Support vector machines Testing Training Training data
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!