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A Framework for Multi-Label Learning Using Label Ranking and Correlation

2015
Multi-relational data mining is a rapidly growing area used for mining relational databases. While traditional data mining approaches search patterns in a single data table, relational data mining techniques look for patterns which exist in multiple tables. Multi-label learning (classification) comes under multi-relational data mining technique.
Malik Irfan Shaukat, Muhammad Usman 0005
openaire   +1 more source

Multi-Label Adversarial Attack Based on Label Correlation

2023 IEEE International Conference on Image Processing (ICIP), 2023
Mingzhi Ma   +5 more
openaire   +1 more source

Label correlations variation for robust multi-label feature selection

Information Sciences, 2022
Wanfu Gao, Yonghao Li
exaly  

Correlation of Efficiency of Labeling with Chemical Constitution

1963
The Wilzbach technique for tritium labeling has become an established method for the labeling of organic compounds. However, the prediction of the extent of tritium incorporation in various types of compounds is still conjectural. Since many hundreds of compounds have been labeled in this fashion, a large amount of information appears to be available ...
openaire   +2 more sources

Multi-label feature selection based on label correlations and feature redundancy

Knowledge-Based Systems, 2022
Weiyao Lan, Wei Weng, Yuling Fan
exaly  

Invariant Correlation of Representation With Label

IEEE Transactions on Information Forensics and Security
Gaojie Jin   +4 more
openaire   +1 more source

Multi-label classification with local pairwise and high-order label correlations using graph partitioning

Knowledge-Based Systems, 2021
Cv Radhakrishnan   +2 more
exaly  

Global and Adaptive Local Label Correlation for Multi-label Learning with Missing Labels

2023 International Joint Conference on Neural Networks (IJCNN), 2023
Qingxia Jiang   +3 more
openaire   +1 more source

Multi-label feature selection with local discriminant model and label correlations

Neurocomputing, 2021
Wei Weng, Yuling Fan, Shunxiang Wu
exaly  

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