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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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Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
Neural Computation, 1998Thomas G. Dietterich
semanticscholar +1 more source
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
Xiaosong Wang +5 more
semanticscholar +1 more source
Xiaosong Wang +5 more
semanticscholar +1 more source
Supervised Classification Algorithms in Machine Learning: A Survey and Review
Advances in Intelligent Systems and Computing, 2019P. C. Sen, Mahimarnab Hajra, Mr S. Ghosh
semanticscholar +1 more source
A new graph-based semi-supervised method for surface defect classification
Robotics and Computer-Integrated Manufacturing, 2021Liang Gao, Yucheng Wang
exaly
On a Weakly Supervised Classification Problem
2022Vladimir B. Berikov +3 more
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Semi-Supervised Classification with Universum
Proceedings of the 2008 SIAM International Conference on Data Mining, 2008Dan Zhang 0007 +3 more
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