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Multi-Label Learning with Weak Label
Proceedings of the AAAI Conference on Artificial Intelligence, 2010Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the “full” label set associated with each training instance is given by users.
Yu-Yin Sun, Yin Zhang, Zhi-Hua Zhou
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Multi-label Learning for Activity Recognition
2015 International Conference on Intelligent Environments, 2015Advances in pervasive and ubiquitous computing have resulted in the development of sensors that can be easily deployed in the natural habitat of a human to acquire activity related data. However, inferring meaningful activity information from sensor data is still a challenging problem.
Rahul Kumar +3 more
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Multi-Label Learning from Crowds
IEEE Transactions on Knowledge and Data Engineering, 2019We consider multi-label crowdsourcing learning in two scenarios. In the first scenario, we aim at inferring instances’ groundtruth given the crowds’ annotations. We propose two approaches NAM/RAM (Neighborhood/Relevance Aware Multi-label crowdsourcing) modeling the crowds’ expertise and label correlations from different perspectives.
Shao-Yuan Li +3 more
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Partial Multi-Label Learning via Credible Label Elicitation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Min-Ling Zhang
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On Active Learning in Multi-label Classification
2006In conventional multiclass classification learning, we seek to induce a prediction function from the domain of input patterns to a mutually exclusive set of class labels. As a straightforward generalization of this category of learning problems, so-called multi-label classification allows for input patterns to be associated with multiple class labels ...
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Multi-Label Active Learning Algorithms for Image Classification
ACM Computing Surveys, 2021Pengpeng Zhao, Hua Li, Jian Wu
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Multi-view multi-label learning with high-order label correlation
Information Sciences, 2023Yanshan Xiao
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Two-step multi-view and multi-label learning with missing label via subspace learning
Applied Soft Computing Journal, 2021Dawei Zhao, Dong Sun, Qingwei Gao
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Group-preserving label-specific feature selection for multi-label learning
Expert Systems With Applications, 2023Shaozi Li, Jinyi Long, Yong Tang
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