A novel semisupervised support vector machine classifier based on active learning and context information

DOI10.1007/s11045-016-0396-1zbMath1441.94058OpenAlexW2332734940WikidataQ58223705 ScholiaQ58223705MaRDI QIDQ337943

Wenchao Lv, Fei Gao, Jun Wang, Jinping Sun, Erfu Yang, Yaotian Zhang

Publication date: 3 November 2016

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://strathprints.strath.ac.uk/56198/

zbMATH Keywords

active learningremote sensingcontext informationsemisupervised support vector machine

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Applications of design theory to circuits and networks (94C30) Information theory (general) (94A15)

Related Items (2)

Special issue on Multimodal data fusion for multidimensional signal processing ⋮ A new kernel fuzzy based feature extraction method using attraction points

Cites Work

• Semi-supervised learning with density-ratio estimation

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