Robotics & Machine Learning Daily News2024,Issue(MAY.8) :89-90.

Reports Summarize Intelligent Systems Study Results from Liaoning Technical Univ ersity (Obmi: Oversampling Borderline Minority Instances By a Two-stage Tomek Li nk-finding Procedure for Class Imbalance Problem)

Robotics & Machine Learning Daily News2024,Issue(MAY.8) :89-90.

Reports Summarize Intelligent Systems Study Results from Liaoning Technical Univ ersity (Obmi: Oversampling Borderline Minority Instances By a Two-stage Tomek Li nk-finding Procedure for Class Imbalance Problem)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning - In telligent Systems have been presented. According to news reporting originating f rom Huludao, People’s Republic of China, by NewsRx correspondents, research stat ed, “Mitigating the impact of class imbalance datasets on classifiers poses a ch allenge to the machine learning community. Conventional classifiers do not perfo rm well as they are habitually biased toward the majority class.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Natural Science Foundation of China (NSFC), Foundation of Liaoni ng Province Education Administration, PhD Startup Foundation of Liaoning Technic al University.

Key words

Huludao/People’s Republic of China/Asi a/Intelligent Systems/Machine Learning/Liaoning Technical University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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