Suchergebnisse - Subsampling-based active learning method

Multi-category Classification Problem Oriented Subsampling-Based Active Learning Method von Shi, Wei, Feng, Yanghe, Cheng, Guangquan, Liu, Shixuan, Liu, Zhong

“… these active learning methods in large scale multi-category data classification task. In order to solve this problem, this paper designed a subsampling-based active …”
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leADS: improved metabolic pathway inference based on active dataset subsampling von Basher, Abdur Rahman M. A., Nallan, Aditi N., McLaughlin, Ryan J., Anstett, Julia, Hallam, Steven J.

“… Here, we present leADS (multi-label learning based on active dataset subsampling), a machine learning method, that uses subsampling to reduce the negative impact of training loss due to class imbalance …”
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An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation von Zhang, Jingyi, Meng, Cheng, Yu, Jun, Zhang, Mengrui, Zhong, Wenxuan, Ma, Ping

“… Such methods have been used pervasively in large-scale data analytics, active learning, and privacy-preserving analysis in recent decades …”
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Training Nuclei Detection Algorithms with Simple Annotations von Kost, Henning, Homeyer, André, Molin, Jesper, Lundström, Claes, Hahn, Horst Karl

“… Background: Generating good training datasets is essential for machine learning-based nuclei detection methods …”
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An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation von Zhang, Jingyi, Cheng, Meng, Yu, Jun, Zhang, Mengrui, Zhong, Wenxuan, Ma, Ping

“… Such methods have been used pervasively in large-scale data analytics, active learning, and privacy-preserving analysis in recent decades …”
Volltext