Semi-Supervised Gaussian Processes Active Learning Model for Imbalanced Small Data Based on Tri-Training With Data Enhancement

Semi-Supervised Gaussian Processes Active Learning Model for Imbalanced Small Data Based on Tri-Training With Data Enhancement

To solve the problem that some imbalanced small sample datasets only contain a few labeled samples, a semi-supervised gaussian processes active learning model based on improved tri-training with enhanced data is proposed. Firstly, the label samples are balanced and enhanced, and we present a quantit...

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מידע ביבליוגרפי
Main Authors: Chenxiao Zhou, Lianying Zou
פורמט: Article
שפה:English
יצא לאור: IEEE 2023-01-01
סדרה:IEEE Access
נושאים:
Active learning
imbalaned small dataset
Gaussian procession
semi-supervised learning
tri-training
גישה מקוונת:https://ieeexplore.ieee.org/document/10043703/

אינטרנט

https://ieeexplore.ieee.org/document/10043703/

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