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Supervised neighborhood graph construction for semi-supervised classification
Pattern Recognition, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohammad H. Rohban, Hamid R. Rabiee 0001
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Supervised and Semi-supervised Multi-task Binary Classification
2018In this paper, we interrogate multi-task learning in the background of Gaussian Processes(GP) for constructing different models dealing with the issue of binary classification. At first, we propose a new supervised multi-task classification approach (SMBGC) based on Gaussian processes where kernel parameters for all tasks share a common prior.
Rakesh Kumar Sanodiya +3 more
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A survey of multi-label classification based on supervised and semi-supervised learning
International Journal of Machine Learning and Cybernetics, 2022Xilong Zhang, Meng Han
exaly
On a Weakly Supervised Classification Problem
2022Vladimir B. Berikov +3 more
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A new graph-based semi-supervised method for surface defect classification
Robotics and Computer-Integrated Manufacturing, 2021Liang Gao, , Yucheng Wang
exaly
Semi-supervised Time Series Classification Model with Self-supervised Learning
Engineering Applications of Artificial Intelligence, 2022Haoyi Fan, Liang Xi
exaly