Compared with multi-class classification, multi-label classification has larger label space and thus the annotations of multi-label instances are typically more time-consuming. It is significant to develop active learning methods for multi-label classification problems. In addition, multi-view learning ...
Most existing multi-label learning methods do not sufficiently con- sider the complementary information among multiple views, leading to unsatisfying performance. To address this issue, we propose a novel approach for multi-view multi-label learn- ing based on matrix factorization to exploit ...
An ensemble-based approach for multi-view multi-label classificationMulti-labelMulti-viewMulti-featureClassificationEnsembleMulti-label classification with multiple data views is a recent research field not much explored. This more flexible learning approach allows each pattern to be represented by several ...
@inproceedings{liu2023dicnet,title={DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification},author={Liu, Chengliang and Wen, Jie and Luo, Xiaoling and Huang, Chao and Wu, Zhihao and Xu, Yong},booktitle={Proceedings of the AAAI Conference on...
Many multi-view classification methods have been proposed by fusing complementary information of multiple views. However, most of them ignore the expectation of a large margin between different classes as they adopt the fixed label matrix for classification. In addition, these methods concatenate views...
显而易见,“不完整的多视图弱标签学习”(Incomplete Multi-View Weak-Label Learning)是“不完整的多视图学习”与“弱标签学习”的交叉子方向。它可以看作是“多视图多标签学习”(Multi-View Multi-Label Learning)遇上了同时属于不完整的多视图和弱标签的数据的一种特殊场景。
In order to address the problem of multi-label classification with a high number of classes on a multi-view dataset, a Multi-view Label Embedding model was proposed [20]. Besides, for the problems with incomplete or incompletely labeled multi-view data, a unified subspace learning framework ...
BBC (segment): synthetic text, two, three or four views http://mlg.ucd.ie/datasets/segment.html The preprocessed views are the files as follows. bbcview1.txt bbcview2.txt bbcview3.txt bbcview4.txt bbc_label.txt (labels) BBCSport (segment): synthetic text, two, three or four views ...
Analysis of Semi Supervised Learning Methods towards Multi Label Text Classification The area of multi label text classification is getting more attention of researchers because of its role in the field of information retrieval , text mining , web mining etc. Supervised methods from machine learning ...
Multi-view learning has received much attention in machine learning, especially for multi-label and image classification [3], [4], [5]. Learning classification models from the fusion of multiple views increases the strength of the classification predictions as compared to independent views [6], [...