Results 21 to 30 of about 881,675 (221)
Non-Aligned Multi-View Multi-Label Classification via Learning View-Specific Labels
IEEE transactions on multimedia, 2023 In the multi-view multi-label (MVML) classification problem, multiple views are simultaneously associated with multiple semantic representations. Multi-view multi-label learning inevitably has the problems of consistency, diversity, and non-alignment ...
Dawei Zhao +3 more
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Multi-Label Classification With High-Rank and High-Order Label Correlations [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2022 Exploiting label correlations is important to multi-label classification. Previous methods capture the high-order label correlations mainly by transforming the label matrix to a latent label space with low-rank matrix factorization.
Chongjie Si +5 more
semanticscholar +1 more source
Learning a Deep ConvNet for Multi-Label Classification With Partial Labels [PDF]
Computer Vision and Pattern Recognition, 2019 Deep ConvNets have shown great performance for single-label image classification (e.g. ImageNet), but it is necessary to move beyond the single-label classification task because pictures of everyday life are inherently multi-label.
Thibaut Durand +2 more
semanticscholar +1 more source
Harnessing Multi-label Classification Approaches for Economic Phenomena Categorization
ASEAN Journal on Science and Technology for Development, 2021 One fashion to report a country’s economic state is by compiling economic phenomena from several sources. The collected data may be explored based on their sentiments and economic categories.
Nofriani, Novianto Budi Kurniawan
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Multi-Label Classification Based on Associations
Applied Sciences, 2023 Associative classification (AC) has been shown to outperform other methods of single-label classification for over 20 years. In order to create rules that are both more precise and simpler to grasp, AC combines the rules of mining associations with the ...
Raed Alazaidah +5 more
semanticscholar +1 more source
Multi-Label ECG Signal Classification Based on Ensemble Classifier
IEEE Access, 2020 Electrocardiogram (ECG) has been proved to be the most common and effective approach to investigate the cardiovascular disease because that it is simple, non-invasive and low cost.
Zhanquan Sun +3 more
doaj +1 more source
Multi-Label Classification Algorithm Based on Embedded Feature Extraction [PDF]
Jisuanji gongcheng, 2019 Dimensionality reduction and feature selection methods based on single-label classification cannot be directly applied to multi-label learning.If a multi-label learning problem is composed into multiple independent single-label learning problems to ...
WANG Xiaoying, XIE Jun, TAO Xingliu, SHAO Dongsheng, WANG Zhong
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Multi-Label Classification with Label Clusters
Knowledge and Information Systems, 2023 Abstract Multi-Label Classification is the task of simultaneously predicting a set of labels for an instance. Typically, two approaches are used: global, which trains a single classifier to deal with all classes at once, and local, which divides the problem into many binary problems.
Elaine Cecília Gatto +2 more
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A multi-label classification approach via hierarchical multi-label classification
, 2022 Abstract Multi-label classification (MLC) is a very explored field in recent years. The most common approaches that deal with MLC problems are classified into two groups: (i) problem transformation which aims to adapt the multi-label data, making the use of traditional binary or multiclass classification algorithms feasible, and (ii) algorithm ...
Mauri Ferrandin, Ricardo Cerri
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Collective Multi-Label Classification
Proceedings of the 14th ACM international conference on Information and knowledge management, 2005 Common approaches to multi-label classification learn independent classifiers for each category, and employ ranking or thresholding schemes for classification. Because they do not exploit dependencies between labels, such techniques are only well-suited to problems in which categories are independent.
Andrew McCallum, Nadia Ghamrawi
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