Results 271 to 280 of about 4,317,504 (301)

Efficient Methods for Multi-label Classification

2015
As a generalized form of multi-class classification, multi-label classification allows each sample to be associated with multiple labels. This task becomes challenging when the number of labels bulks up, which demands a high efficiency. Many approaches have been proposed to address this problem, among which one of the main ideas is to select a subset ...
Chonglin Sun, Chunting Zhou, Bo Jin 0001, Francis C. M. Lau 0001   +3 more
openaire   +2 more sources

Locality in multi-label classification problems

2016 23rd International Conference on Pattern Recognition (ICPR), 2016
Lately, multi-label classification (MLC) problems have drawn a lot of attention in a wide range of fields including medical, web, and entertainment. The scale and the diversity of MLC problems is much larger than single-label classification problems. Especially we have to face all possible combinations of labels. To solve MLC problems more efficiently,
Batzaya Norov-Erdene, Mineichi Kudo, Lu Sun 0001, Keigo Kimura   +3 more
openaire   +1 more source

Interdependence Model for Multi-label Classification

2019
The multi-label classification problem is a supervised learning problem that aims to predict multiple labels for each data instance. One of the key issues in designing multi-label learning approaches is how to incorporate dependencies among different labels.
Kosuke Yoshimura, Tomoaki Iwase, Yukino Baba, Hisashi Kashima   +3 more
openaire   +2 more sources

Multi-label Classification without the Multi-label Cost

Proceedings of the 2010 SIAM International Conference on Data Mining, 2010
Xiatian Zhang, Quan Yuan, Shiwan Zhao, Wei Fan, Wentao Zheng, Zhong Wang   +5 more
openaire   +1 more source

Multi-Label Collective Classification

Proceedings of the 2011 SIAM International Conference on Data Mining, 2011
Xiangnan Kong, Xiaoxiao Shi, Philip S. Yu   +2 more
openaire   +2 more sources

Multi-Label Classification of Pure Code

International Journal of Software Engineering and Knowledge Engineering
Currently, there is a significant amount of public code in the IT communities, programming forums and code repositories. Many of these codes lack classification labels, or have imprecise labels, which causes inconvenience to code management and retrieval.
Bin Gao, Hongwu Qin, Xiuqin Ma
openaire   +2 more sources

A review of methods for imbalanced multi-label classification

Pattern Recognition, 2021
Adane Nega Tarekegn, Mario Giacobini, Krzysztof Michalak   +2 more
exaly  

Multi-Label Active Learning Algorithms for Image Classification

ACM Computing Surveys, 2021
Pengpeng Zhao, Hua Li, Jian Wu
exaly  

Research on multi-label user classification of social media based on ML-KNN algorithm

Technological Forecasting and Social Change, 2023
Meiwen Guo, Anzhong Huang
exaly  

Learning common and label-specific features for multi-Label classification with correlation information

Pattern Recognition, 2022
Xuegang Hu, Peipei Li, Kui Yu
exaly