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Application research of multi-label learning under concept drift. (English) Zbl 07929721

Wang, Wei (ed.) et al., Communications, signal processing, and systems. Proceedings of the 12th international conference, September 6–8, 2023. Volume 2. Singapore: Springer. Lect. Notes Electr. Eng. 1033, 399-408 (2024).

MSC: 68Txx

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Wang, Yan; Wang, Changzhong; Deng, Tingquan; Li, Wenqi

Multi-label feature selection based on nonlinear mapping. (English) Zbl 07903588

Inf. Sci. 680, Article ID 121168, 17 p. (2024).

MSC: 68T05 62H30

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Sulzhenko, R. V.; Dobrov, B. V.

Approximation of the meaning for thematic subject headings by simple interpretable representations. (English) Zbl 07896215

Lobachevskii J. Math. 45, No. 3, 1261-1274 (2024).

MSC: 62-XX 62Bxx 68Txx

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Zhang, Heng-Ru; Li, Peng-Cheng; Xu, Yuan-Yuan; Min, Fan

Exploiting asymmetric influence between instances for label enhancement. (English) Zbl 07880031

Inf. Sci. 678, Article ID 120954, 12 p. (2024).

MSC: 68-XX 90-XX

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Yu, Ying; Wan, Ming; Qian, Jin; Miao, Duoqian; Zhang, Zhiqiang; Zhao, Pengfei

Feature selection for multi-label learning based on variable-degree multi-granulation decision-theoretic rough sets. (English) Zbl 1543.68381

Int. J. Approx. Reasoning 169, Article ID 109181, 19 p. (2024).

MSC: 68T37 68T05 68T09

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Su, Xinpei; Xu, Yitian

Imbalanced and missing multi-label data learning with global and local structure. (English) Zbl 1543.68342

Inf. Sci. 677, Article ID 120910, 19 p. (2024).

MSC: 68T09 68T05

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Li, Jiaxuan; Zhu, Xiaoyan; Wang, Hongrui; Zhang, Yu; Wang, Jiayin

Stacked co-training for semi-supervised multi-label learning. (English) Zbl 1543.68341

Inf. Sci. 677, Article ID 120906, 14 p. (2024).

MSC: 68T09 68T05

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Hao, Pingting; Zhang, Ping; Feng, Qi; Gao, Wanfu

Label generation with consistency on the graph for multi-label feature selection. (English) Zbl 07874029

Inf. Sci. 677, Article ID 120890, 14 p. (2024).

MSC: 68T05

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Liu, Xiangbin; Zheng, Heming; Chen, Wenxiang; Xia, Liyun; Dai, Jianhua

A novel multi-label feature selection method based on knowledge consistency-independence index. (English) Zbl 07874013

Inf. Sci. 677, Article ID 120870, 20 p. (2024).

MSC: 68T05 68T37

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Cai, Mingjie; Yan, Mei; Wang, Pei; Xu, Feng

Multi-label feature selection based on fuzzy rough sets with metric learning and label enhancement. (English) Zbl 07858395

Int. J. Approx. Reasoning 168, Article ID 109149, 15 p. (2024).

MSC: 68T37

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Ding, Jiaman; Zhang, Yihang; Jia, Lianyin; Fu, Xiaodong; Jiang, Ying

Noisy feature decomposition-based multi-label learning with missing labels. (English) Zbl 07840709

Inf. Sci. 662, Article ID 120228, 20 p. (2024).

MSC: 68-XX 92-XX

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Fadakar, Alireza; Jafari, Ashkan; Tavana, Parisa; Jahani, Reza; Akhavan, Saeed

Deep learning based 2D-DOA estimation using L-shaped arrays. (English) Zbl 1536.93867

J. Franklin Inst. 361, No. 6, Article ID 106743, 19 p. (2024).

MSC: 93E10 93B70 68T07

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Zou, Yizhang; Hu, Xuegang; Li, Peipei; Ge, Yuhang

Learning shared and non-redundant label-specific features for partial multi-label classification. (English) Zbl 07791068

Inf. Sci. 656, Article ID 119917, 17 p. (2024).

MSC: 68-XX 91-XX

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Xiao, Yanshan; Chen, Junfeng; Liu, Bo; Zhao, Liang; Kong, Xiangjun; Hao, Zhifeng

A new multi-view multi-label model with privileged information learning. (English) Zbl 07791062

Inf. Sci. 656, Article ID 119911, 21 p. (2024).

MSC: 68-XX 90-XX

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Han, Qingqi; Hu, Liang; Gao, Wanfu

Feature relevance and redundancy coefficients for multi-view multi-label feature selection. (English) Zbl 07759675

Inf. Sci. 652, Article ID 119747, 19 p. (2024).

MSC: 68-XX 94-XX

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Kou, Yi; Lin, Guoping; Qian, Yuhua; Liao, Shujiao

A novel multi-label feature selection method with association rules and rough set. (English) Zbl 07840249

Inf. Sci. 624, 299-323 (2023).

MSC: 68-XX 92-XX

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Liu, Bo; Li, Weibin; Xiao, Yanshan; Chen, Xiaodong; Liu, Laiwang; Liu, Changdong; Wang, Kai; Sun, Peng

Multi-view multi-label learning with high-order label correlation. (English) Zbl 1541.68319

Inf. Sci. 624, 165-184 (2023).

MSC: 68T05

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Ashfaq, Awais; Lingman, Markus; Sensoy, Murat; Nowaczyk, Sławomir

DEED: deep evidential doctor. (English) Zbl 1531.68112

Artif. Intell. 325, Article ID 104019, 27 p. (2023).

MSC: 68T07 62P10 92C50

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Liang, Yuefeng; Hsieh, Cho-Jui; Lee, Thomas C. M.

Fast block-wise partitioning for extreme multi-label classification. (English) Zbl 07765748

Data Min. Knowl. Discov. 37, No. 6, 2192-2215 (2023).

MSC: 68T05 62H30 90C90

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Deng, Tingquan; Jia, Qingwei; Wang, Jingyu; Fujita, Hamido

Transformed Schatten-1 penalty based full-rank latent label learning for incomplete multi-label classification. (English) Zbl 07758487

Inf. Sci. 650, Article ID 119699, 20 p. (2023).

MSC: 68-XX 62-XX

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Yang, Yong; Chen, Hongmei; Mi, Yong; Luo, Chuan; Horng, Shi-Jinn; Li, Tianrui

Multi-label feature selection based on stable label relevance and label-specific features. (English) Zbl 07741628

Inf. Sci. 648, Article ID 119525, 21 p. (2023).

MSC: 68T05

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Wang, Zhenxin; Chen, Degang; Che, Xiaoya

Multi-kernel learning for multi-label classification with local Rademacher complexity. (English) Zbl 07735598

Inf. Sci. 647, Article ID 119462, 20 p. (2023).

MSC: 68T05 62H30

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Han, Mingjing; Zhang, Han

Multiple kernel learning for label relation and class imbalance in multi-label learning. (English) Zbl 07830699

Inf. Sci. 613, 344-356 (2022).

MSC: 68T05

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Li, Yonghao; Hu, Liang; Gao, Wanfu

Label correlations variation for robust multi-label feature selection. (English) Zbl 07825398

Inf. Sci. 609, 1075-1097 (2022).

MSC: 68T05 62-XX

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Tan, Anhui; Ji, Xiaowan; Liang, Jiye; Tao, Yuzhi; Wu, Wei-Zhi; Pedrycz, Witold

Weak multi-label learning with missing labels via instance granular discrimination. (English) Zbl 07810506

Inf. Sci. 594, 200-216 (2022).

MSC: 68T05

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Cheng, Yusheng; Qian, Kun; Min, Fan

Global and local attention-based multi-label learning with missing labels. (English) Zbl 1535.68254

Inf. Sci. 594, 20-42 (2022).

MSC: 68T05 62H30

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Hu, Liang; Gao, Lingbo; Li, Yonghao; Zhang, Ping; Gao, Wanfu

Feature-specific mutual information variation for multi-label feature selection. (English) Zbl 1535.68308

Inf. Sci. 593, 449-471 (2022).

MSC: 68T09 68T05 94A17

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Che, Xiaoya; Chen, Degang; Mi, Jusheng

Label correlation in multi-label classification using local attribute reductions with fuzzy rough sets. (English) Zbl 1522.68557

Fuzzy Sets Syst. 426, 121-144 (2022).

MSC: 68T37 68T05

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Ding, Yijie; Tiwari, Prayag; Guo, Fei; Zou, Quan

Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization. (English) Zbl 1526.92045

Neural Netw. 156, 170-178 (2022).

MSC: 92D20 68T07

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Schultheis, Erik; Babbar, Rohit

Speeding-up one-versus-all training for extreme classification via mean-separating initialization. (English) Zbl 07694455

Mach. Learn. 111, No. 11, 3953-3976 (2022).

MSC: 68T05

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Leemhuis, Mena; Özçep, Özgür L.; Wolter, Diedrich

Learning with cone-based geometric models and orthologics. (English) Zbl 1511.68276

Ann. Math. Artif. Intell. 90, No. 11-12, 1159-1195 (2022).

MSC: 68T30 68T05 68T27

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Moral-García, Serafín; Mantas, Carlos J.; Castellano, Javier G.; Abellán, Joaquín

Using credal C4.5 for calibrated label ranking in multi-label classification. (English) Zbl 1512.68283

Int. J. Approx. Reasoning 147, 60-77 (2022).

MSC: 68T05 62H30 68T37

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Hüllermeier, Eyke; Wever, Marcel; Loza Mencia, Eneldo; Fürnkranz, Johannes; Rapp, Michael

A flexible class of dependence-aware multi-label loss functions. (English) Zbl 07510326

Mach. Learn. 111, No. 2, 713-737 (2022).

MSC: 68T05

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Iliadis, Dimitrios; De Baets, Bernard; Waegeman, Willem

Multi-target prediction for dummies using two-branch neural networks. (English) Zbl 07510324

Mach. Learn. 111, No. 2, 651-684 (2022).

MSC: 68T05

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Eom, Sungkwang; Oh, Byungkook; Shin, Sangjin; Lee, Kyong-Ho

Multi-task learning for spatial events prediction from social data. (English) Zbl 1535.68291

Inf. Sci. 581, 278-290 (2021).

MSC: 68T07 62H11 68T09

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Su, Yuting; Xu, Junyu; Hong, Daozheng; Fan, Fugui; Zhang, Jing; Jing, Peiguang

Deep low-rank matrix factorization with latent correlation estimation for micro-video multi-label classification. (English) Zbl 1528.62034

Inf. Sci. 575, 587-598 (2021).

MSC: 62H30 15A23 68T05

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Xiong, Chuanzhen; Qian, Wenbin; Wang, Yinglong; Huang, Jintao

Feature selection based on label distribution and fuzzy mutual information. (English) Zbl 1531.68105

Inf. Sci. 574, 297-319 (2021).

MSC: 68T05 68T37

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Wang, Ran; Ye, Suhe; Li, Ke; Kwong, Sam

Bayesian network based label correlation analysis for multi-label classifier chain. (English) Zbl 1484.68198

Inf. Sci. 554, 256-275 (2021).

MSC: 68T05 62H22 62H30

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Zhang, Ping; Gao, Wanfu; Hu, Juncheng; Li, Yonghao

Multi-label feature selection based on the division of label topics. (English) Zbl 1483.68329

Inf. Sci. 553, 129-153 (2021).

MSC: 68T05 62H30

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Zhou, Fan; Qi, Xiuxiu; Xiao, Chunjing; Wang, Jiahao

Metarisk: semi-supervised few-shot operational risk classification in banking industry. (English) Zbl 1486.91088

Inf. Sci. 552, 1-16 (2021).

MSC: 91G45 91G70 62H30 68T05

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Bidgoli, Azam Asilian; Ebrahimpour-Komleh, Hossein; Rahnamayan, Shahryar

Reference-point-based multi-objective optimization algorithm with opposition-based voting scheme for multi-label feature selection. (English) Zbl 1475.68261

Inf. Sci. 547, 1-17 (2021).

MSC: 68T05 62H30 68W50 90C29 90C59

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Lyu, Gengyu; Feng, Songhe; Li, Yidong

Noisy label tolerance: a new perspective of partial multi-label learning. (English) Zbl 1475.68283

Inf. Sci. 543, 454-466 (2021).

MSC: 68T05

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Panos, Aristeidis; Dellaportas, Petros; Titsias, Michalis K.

Large scale multi-label learning using Gaussian processes. (English) Zbl 07432827

Mach. Learn. 110, No. 5, 965-987 (2021).

MSC: 68T05

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Huang, Jun; Xu, Linchuan; Qian, Kun; Wang, Jing; Yamanishi, Kenji

Multi-label learning with missing and completely unobserved labels. (English) Zbl 1473.68148

Data Min. Knowl. Discov. 35, No. 3, 1061-1086 (2021).

MSC: 68T05 62D10 62H30

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Stepišnik, Tomaž; Kocev, Dragi

Multivariate predictive clustering trees for classification. (English) Zbl 1507.68258

Helic, Denis (ed.) et al., Foundations of intelligent systems. 25th international symposium, ISMIS 2020, Graz, Austria, September 23–25, 2020. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12117, 331-341 (2020).

MSC: 68T05 62H30

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Stepišnik, Tomaž; Kocev, Dragi

Hyperbolic embeddings for hierarchical multi-label classification. (English) Zbl 1507.68257

Helic, Denis (ed.) et al., Foundations of intelligent systems. 25th international symposium, ISMIS 2020, Graz, Austria, September 23–25, 2020. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12117, 66-76 (2020).

MSC: 68T05 62H30

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Leemhuis, Mena; Özçep, Özgür L.; Wolter, Diedrich

Multi-label learning with a cone-based geometric model. (English) Zbl 1476.68233

Alam, Mehwish (ed.) et al., Ontologies and concepts in mind and machine. 25th international conference on conceptual structures, ICCS 2020, Bolzano, Italy, September 18–20, 2020. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12277, 177-185 (2020).

MSC: 68T05 68T30

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Liu, Jing; Guo, Zhongwen; Sun, Zhongwei; Liu, Shiyong; Wang, Xupeng

Research on fast multi-label SVM classification algorithm using divide-and-conquer strategy. (Chinese. English summary) Zbl 1474.68260

Period. Ocean Univ. China 50, No. 12, 160-166 (2020).

MSC: 68T05 62H30

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Yao, Erliang; Li, Deyu

Review on multi-label feature selection. (Chinese. English summary) Zbl 1474.68290

J. Zhengzhou Univ., Nat. Sci. Ed. 52, No. 4, 16-27 (2020).

MSC: 68T05

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Che, Xiaoya; Chen, Degang; Mi, Jusheng

A novel approach for learning label correlation with application to feature selection of multi-label data. (English) Zbl 1456.68145

Inf. Sci. 512, 795-812 (2020).

MSC: 68T05 62H30

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Hüllermeier, Eyke; Fürnkranz, Johannes; Loza Mencia, Eneldo; Nguyen, Vu-Linh; Rapp, Michael

Rule-based multi-label classification: challenges and opportunities. (English) Zbl 1478.68289

Gutiérrez-Basulto, Víctor (ed.) et al., Rules and reasoning. 4th international joint conference, RuleML+RR 2020, Oslo, Norway, June 29 – July 1, 2020. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12173, 3-19 (2020).

MSC: 68T05 62H30

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Jung, Jinhong; Sael, Lee

Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach. (English) Zbl 1523.65037

Mach. Learn. 109, No. 12, 2333-2347 (2020); correction ibid. 110, No. 3, 619-620 (2021).

MSC: 65F20 15A09 62J05 65F50 68T05

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Petković, Matej; Džeroski, Sašo; Kocev, Dragi

Multi-label feature ranking with ensemble methods. (English) Zbl 1512.68285

Mach. Learn. 109, No. 11, 2141-2159 (2020).

MSC: 68T05 62H30

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Khandagale, Sujay; Xiao, Han; Babbar, Rohit

Bonsai: diverse and shallow trees for extreme multi-label classification. (English) Zbl 1523.68062

Mach. Learn. 109, No. 11, 2099-2119 (2020).

MSC: 68T05 62H30 68T20

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Nakano, Felipe Kenji; Cerri, Ricardo; Vens, Celine

Active learning for hierarchical multi-label classification. (English) Zbl 1455.68177

Data Min. Knowl. Discov. 34, No. 5, 1496-1530 (2020).

MSC: 68T05 62H30

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Yu, Ying; Wu, Xinnian; Wang, Lewei; Zhang, Yinglong

A multi-label three-way classification algorithm based on label correlation. (Chinese. English summary) Zbl 1463.68069

J. Shandong Univ., Nat. Sci. 55, No. 3, 81-88 (2020).

MSC: 68T05 62H30 68T37

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Wu, Guoqiang; Zheng, Ruobing; Tian, Yingjie; Liu, Dalian

Joint ranking SVM and binary relevance with robust low-rank learning for multi-label classification. (English) Zbl 1434.68474

Neural Netw. 122, 24-39 (2020).

MSC: 68T05 62H30

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Tan, Zhi-Hao; Tan, Peng; Jiang, Yuan; Zhou, Zhi-Hua

Multi-label optimal margin distribution machine. (English) Zbl 1494.68230

Mach. Learn. 109, No. 3, 623-642 (2020).

MSC: 68T05 62H30

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Birmingham, Brandon; Muscat, Adrian

Clustering-based model for predicting multi-spatial relations in images. (English) Zbl 1531.68157

Gusikhin, Oleg (ed.) et al., ICINCO 2019. Proceedings of the 16th international conference on informatics in control, automation and robotics, Prague, Czech Republic, July 29–31, 2019. In 2 volumes. Setúbal: SCITEPRESS – Science and Technology Publications. 147-156, Vol. 2 (2019).

MSC: 68U10 68T10 68T45 68T50

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Waegeman, Willem; Dembczyński, Krzysztof; Hüllermeier, Eyke

Multi-target prediction: a unifying view on problems and methods. (English) Zbl 1464.62399

Data Min. Knowl. Discov. 33, No. 2, 293-324 (2019).

MSC: 62M20 62H15 62J02 68T05

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Huang, Jun; Qin, Feng; Zheng, Xiao; Cheng, Zekai; Yuan, Zhixiang; Zhang, Weigang; Huang, Qingming

Improving multi-label classification with missing labels by learning label-specific features. (English) Zbl 1451.68225

Inf. Sci. 492, 124-146 (2019).

MSC: 68T05 62H30

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Ma, Jianghong; Chow, Tommy W. S.

Label-specific feature selection and two-level label recovery for multi-label classification with missing labels. (English) Zbl 1434.68431

Neural Netw. 118, 110-126 (2019).

MSC: 68T05 62H30

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Zhang, Xueying; Li, Ruixian; Zhang, Bo; Yang, Yunxiang; Guo, Jing; Ji, Xiang

An instance-based learning recommendation algorithm of imbalance handling methods. (English) Zbl 1428.68268

Appl. Math. Comput. 351, 204-218 (2019).

MSC: 68T05 62G07

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Duan, Junhong; Li, Xiaoyu; Mu, Dejun

Learning multi labels from single label – an extreme weak label learning algorithm. (English) Zbl 1438.68077

Wuhan Univ. J. Nat. Sci. 24, No. 2, 161-168 (2019).

MSC: 68T05

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Lu, Chenguang; Wang, Peizhuang

Significance of Zadeh’s membership functions to likelihood method, semantic communication, and statistical learning. (Chinese. English summary) Zbl 1463.62293

Fuzzy Syst. Math. 33, No. 2, 56-69 (2019).

MSC: 62M86 62B10 62H30 68T05

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Nie, Yu; Liao, Xiangwen; Wei, Jingjing; Yang, Dingda; Chen, Guolong

Multi-label classification based on the deep autoencoder. (Chinese. English summary) Zbl 1438.68110

J. Guangxi Norm. Univ., Nat. Sci. 37, No. 1, 71-79 (2019).

MSC: 68T05

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Babbar, Rohit; Schölkopf, Bernhard

Data scarcity, robustness and extreme multi-label classification. (English) Zbl 1493.68291

Mach. Learn. 108, No. 8-9, 1329-1351 (2019).

MSC: 68T05 62H30 68T09

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Chu, Hong-Min; Huang, Kuan-Hao; Lin, Hsuan-Tien

Dynamic principal projection for cost-sensitive online multi-label classification. (English) Zbl 1493.62378

Mach. Learn. 108, No. 8-9, 1193-1230 (2019).

MSC: 62H30 62H25 68T05 68W27

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Huang, Ming; Zhuang, Fuzhen; Zhang, Xiao; Ao, Xiang; Niu, Zhengyu; Zhang, Min-Ling; He, Qing

Supervised representation learning for multi-label classification. (English) Zbl 1491.68157

Mach. Learn. 108, No. 5, 747-763 (2019).

MSC: 68T05 62H30

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Sering, Konstantin; Milin, Petar; Baayen, R. Harald

Language comprehension as a multi-label classification problem. (English) Zbl 1541.62151

Stat. Neerl. 72, No. 3, 339-353 (2018).

MSC: 62H30 68T50

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Liu, Yang; Dong, Guohua; Gu, Zhonglei

Sparse multi-label bilinear embedding on Stiefel manifolds. (English) Zbl 1518.68309

Ceci, Michelangelo (ed.) et al., Foundations of intelligent systems. 24th international symposium, ISMIS 2018, Limassol, Cyprus, October 29–31, 2018. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 11177, 203-213 (2018).

MSC: 68T05 68T09

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Liu, Yi; Luo, Yu; Zhu, Youwen; Liu, Yang; Li, Xingxin

Secure multi-label data classification in cloud by additionally homomorphic encryption. (English) Zbl 1441.68209

Inf. Sci. 468, 89-102 (2018).

MSC: 68T05 62H30 68P25

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Amorim, Willian P.; Falcão, Alexandre X.; Papa, João P.

Multi-label semi-supervised classification through optimum-path forest. (English) Zbl 1441.68202

Inf. Sci. 465, 86-104 (2018).

MSC: 68T05 62H30

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Wu, Baoyuan; Jia, Fan; Liu, Wei; Ghanem, Bernard; Lyu, Siwei

Multi-label learning with missing labels using mixed dependency graphs. (English) Zbl 1458.68187

Int. J. Comput. Vis. 126, No. 8, 875-896 (2018).

MSC: 68T05 68P20 68U10

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Vluymans, Sarah; Cornelis, Chris; Herrera, Francisco; Saeys, Yvan

Multi-label classification using a fuzzy rough neighborhood consensus. (English) Zbl 1436.68313

Inf. Sci. 433-434, 96-114 (2018).

MSC: 68T05 68T37

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Liu, Bin; Li, Yingming; Xu, Zenglin

Manifold regularized matrix completion for multi-label learning with ADMM. (English) Zbl 1434.68423

Neural Netw. 101, 57-67 (2018).

MSC: 68T05 15A83

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Wang, Jin; Yan, Shikai; Gao, Yanyu; Jin, Lixiong; Hu, Mingxing; Deng, Xin; Chen, Qiaosong

Parallelization of ML-\(k\)NN based on MPI. (Chinese. English summary) Zbl 1424.68129

J. Zhengzhou Univ., Nat. Sci. Ed. 50, No. 3, 34-38 (2018).

MSC: 68T05

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Zhang, Yuanjian; Miao, Duoqian; Zhang, Zhifei; Xu, Jianfeng; Luo, Sheng

A three-way selective ensemble model for multi-label classification. (English) Zbl 1448.68431

Int. J. Approx. Reasoning 103, 394-413 (2018).

MSC: 68T37 68T05 68T10

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Zhang, Qilong; Deng, Weibin; Hu, Feng; Qu, Yuan; Hu, Zongrong

A calibrated lable ranking method based on naive Bayes. (Chinese. English summary) Zbl 1413.68107

J. Univ. Sci. Technol. China 48, No. 1, 65-74 (2018).

MSC: 68T05 68P15

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Burkhardt, Sophie; Kramer, Stefan

Online multi-label dependency topic models for text classification. (English) Zbl 1458.68159

Mach. Learn. 107, No. 5, 859-886 (2018).

MSC: 68T05 62H30 68U15 68W27

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Wei, Tong; Guo, Lan-Zhe; Li, Yu-Feng; Gao, Wei

Learning safe multi-label prediction for weakly labeled data. (English) Zbl 1457.68241

Mach. Learn. 107, No. 4, 703-725 (2018).

MSC: 68T05

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Singh, Abhiram Kumar; Chandra Sekhar, C.

A two-stage conditional random field model based framework for multi-label classification. (English) Zbl 1498.68265

Shankar, B. Uma (ed.) et al., Pattern recognition and machine intelligence. 7th international conference, PReMI 2017, Kolkata, India, December 5–8, 2017. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 10597, 69-76 (2017).

MSC: 68T05 62H30 62M40

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Ghosh, Aritra; Sekhar, C. Chandra

Label correlation propagation for semi-supervised multi-label learning. (English) Zbl 1498.68236

Shankar, B. Uma (ed.) et al., Pattern recognition and machine intelligence. 7th international conference, PReMI 2017, Kolkata, India, December 5–8, 2017. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 10597, 52-60 (2017).

MSC: 68T05 62H30

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Sadhukhan, Payel; Murthy, C. A.

Multi-label learning through minimum spanning tree-based subset selection and feature extraction. (English) Zbl 1454.68130

Mouhoub, Malek (ed.) et al., Advances in artificial intelligence. 30th Canadian conference on artificial intelligence, Canadian AI 2017, Edmonton, AB, Canada, May 16–19, 2017. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 10233, 90-96 (2017).

MSC: 68T05 62H30

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Pillai, Ignazio; Fumera, Giorgio; Roli, Fabio

Designing multi-label classifiers that maximize \(F\) measures: state of the art. (English) Zbl 1428.68144

Pattern Recognition 61, 394-404 (2017).

MSC: 68P20 68T05 68T10

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Liu, Yang; Li, Xingxin; Zhu, Youwen; Wang, Jian; Liu, Zhe

Secure multi-label classification over encrypted data in cloud. (English) Zbl 1439.94045

Okamoto, Tatsuaki (ed.) et al., Provable security. 11th international conference, ProvSec 2017, Xi’an, China, October 23–25, 2017. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 10005, 57-73 (2017).

MSC: 94A60 68P25

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Liu, Weiwei; Tsang, Ivor W.; Müller, Klaus-Robert

An easy-to-hard learning paradigm for multiple classes and multiple labels. (English) Zbl 1441.62170

J. Mach. Learn. Res. 18(2017-2018), Paper No. 94, 38 p. (2017).

MSC: 62H30 68T05

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Osojnik, Aljaž; Panov, Panče; Džeroski, Sašo

Multi-label classification via multi-target regression on data streams. (English) Zbl 1455.68178

Mach. Learn. 106, No. 6, 745-770 (2017).

MSC: 68T05 68W27

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OA License

Xuan, Junyu; Lu, Jie; Zhang, Guangquan; Xu, Richard Yi Da; Luo, Xiangfeng

A Bayesian nonparametric model for multi-label learning. (English) Zbl 1434.68477

Mach. Learn. 106, No. 11, 1787-1815 (2017).

MSC: 68T05 62F15 62G05 62H30

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Papanikolaou, Yannis; Foulds, James R.; Rubin, Timothy N.; Tsoumakas, Grigorios

Dense distributions from sparse samples: improved Gibbs sampling parameter estimators for LDA. (English) Zbl 1434.68443

J. Mach. Learn. Res. 18(2017-2018), Paper No. 62, 58 p. (2017).

MSC: 68T05 62F15 62H30 68U15

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Wu, Yu-Ping; Lin, Hsuan-Tien

Progressive random \(k\)-labelsets for cost-sensitive multi-label classification. (English) Zbl 1454.62203

Mach. Learn. 106, No. 5, 671-694 (2017).

MSC: 62H30 68T05

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Guo, Song; Yao, Jianfeng; Zhou, Peng

Research on multi-label text classification algorithm based on cluster tree. (Chinese. English summary) Zbl 1374.68381

J. Xinyang Norm. Univ., Nat. Sci. 30, No. 1, 140-145 (2017).

MSC: 68T05 62H30

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Mena, Deiner; Montañés, Elena; Quevedo, José Ramón; del Coz, Juan José

**A family of admissible heuristics for \(\mathrm{A}^*\) to perform inference in probabilistic classifier chains.** (English) Zbl 1412.68189

Mach. Learn. 106, No. 1, 143-169 (2017).

MSC: 68T05 62H30 68T20

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Li, Hua; Li, Deyu; Zhai, Yanhui; Wang, Suge; Zhang, Jing

A novel attribute reduction approach for multi-label data based on rough set theory. (English) Zbl 1428.68243

Inf. Sci. 367-368, 827-847 (2016).

MSC: 68T05 62H30 68T37

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Chen, Wei-Jie; Shao, Yuan-Hai; Li, Chun-Na; Deng, Nai-Yang

MLTSVM: a novel twin support vector machine to multi-label learning. (English) Zbl 1394.68277

Pattern Recognition 52, 61-74 (2016).

MSC: 68T05 62H30

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Ghouti, Lahouari

A new kernel-based classification algorithm for multi-label datasets. (English) Zbl 1390.68527

Arab. J. Sci. Eng. 41, No. 3, 759-771 (2016).

MSC: 68T05 62-07 62H30

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Xu, Jianhua

Multi-label Lagrangian support vector machine with random block coordinate descent method. (English) Zbl 1390.68561

Inf. Sci. 329, 184-205 (2016).

MSC: 68T05 62H30

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Spyromitros-Xioufis, Eleftherios; Tsoumakas, Grigorios; Groves, William; Vlahavas, Ioannis

Multi-target regression via input space expansion: treating targets as inputs. (English) Zbl 1454.68134

Mach. Learn. 104, No. 1, 55-98 (2016).

MSC: 68T05 62H30

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Cai, Yaping; Yang, Ming

A multi-label feature selection algorithm by exploiting label correlations locally. (Chinese. English summary) Zbl 1374.68364

J. Nanjing Univ., Nat. Sci. 52, No. 4, 693-704 (2016).

MSC: 68T05 68T10

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Liang, Xinyan; Qian, Yuhua; Guo, Qian; Cheng, Honghong

Local rough sets for mutil-label learning. (Chinese. English summary) Zbl 1363.68126

J. Nanjing Univ., Nat. Sci. 52, No. 2, 270-279 (2016).

MSC: 68T05

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Found 150 Documents (Results 1–100)

Application research of multi-label learning under concept drift. (English) Zbl 07929721

Multi-label feature selection based on nonlinear mapping. (English) Zbl 07903588

Approximation of the meaning for thematic subject headings by simple interpretable representations. (English) Zbl 07896215

Exploiting asymmetric influence between instances for label enhancement. (English) Zbl 07880031

Feature selection for multi-label learning based on variable-degree multi-granulation decision-theoretic rough sets. (English) Zbl 1543.68381

Imbalanced and missing multi-label data learning with global and local structure. (English) Zbl 1543.68342

Stacked co-training for semi-supervised multi-label learning. (English) Zbl 1543.68341

Label generation with consistency on the graph for multi-label feature selection. (English) Zbl 07874029

A novel multi-label feature selection method based on knowledge consistency-independence index. (English) Zbl 07874013

Multi-label feature selection based on fuzzy rough sets with metric learning and label enhancement. (English) Zbl 07858395

Noisy feature decomposition-based multi-label learning with missing labels. (English) Zbl 07840709

Deep learning based 2D-DOA estimation using L-shaped arrays. (English) Zbl 1536.93867

Learning shared and non-redundant label-specific features for partial multi-label classification. (English) Zbl 07791068

A new multi-view multi-label model with privileged information learning. (English) Zbl 07791062

Feature relevance and redundancy coefficients for multi-view multi-label feature selection. (English) Zbl 07759675

A novel multi-label feature selection method with association rules and rough set. (English) Zbl 07840249

Multi-view multi-label learning with high-order label correlation. (English) Zbl 1541.68319

DEED: deep evidential doctor. (English) Zbl 1531.68112

Fast block-wise partitioning for extreme multi-label classification. (English) Zbl 07765748

Transformed Schatten-1 penalty based full-rank latent label learning for incomplete multi-label classification. (English) Zbl 07758487

Multi-label feature selection based on stable label relevance and label-specific features. (English) Zbl 07741628

Multi-kernel learning for multi-label classification with local Rademacher complexity. (English) Zbl 07735598

Multiple kernel learning for label relation and class imbalance in multi-label learning. (English) Zbl 07830699

Label correlations variation for robust multi-label feature selection. (English) Zbl 07825398

Weak multi-label learning with missing labels via instance granular discrimination. (English) Zbl 07810506

Global and local attention-based multi-label learning with missing labels. (English) Zbl 1535.68254

Feature-specific mutual information variation for multi-label feature selection. (English) Zbl 1535.68308

Label correlation in multi-label classification using local attribute reductions with fuzzy rough sets. (English) Zbl 1522.68557

Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization. (English) Zbl 1526.92045

Speeding-up one-versus-all training for extreme classification via mean-separating initialization. (English) Zbl 07694455

Learning with cone-based geometric models and orthologics. (English) Zbl 1511.68276

Using credal C4.5 for calibrated label ranking in multi-label classification. (English) Zbl 1512.68283

A flexible class of dependence-aware multi-label loss functions. (English) Zbl 07510326

Multi-target prediction for dummies using two-branch neural networks. (English) Zbl 07510324

Multi-task learning for spatial events prediction from social data. (English) Zbl 1535.68291

Deep low-rank matrix factorization with latent correlation estimation for micro-video multi-label classification. (English) Zbl 1528.62034

Feature selection based on label distribution and fuzzy mutual information. (English) Zbl 1531.68105

Bayesian network based label correlation analysis for multi-label classifier chain. (English) Zbl 1484.68198

Multi-label feature selection based on the division of label topics. (English) Zbl 1483.68329

Metarisk: semi-supervised few-shot operational risk classification in banking industry. (English) Zbl 1486.91088

Reference-point-based multi-objective optimization algorithm with opposition-based voting scheme for multi-label feature selection. (English) Zbl 1475.68261

Noisy label tolerance: a new perspective of partial multi-label learning. (English) Zbl 1475.68283

Large scale multi-label learning using Gaussian processes. (English) Zbl 07432827

Multi-label learning with missing and completely unobserved labels. (English) Zbl 1473.68148

Multivariate predictive clustering trees for classification. (English) Zbl 1507.68258

Hyperbolic embeddings for hierarchical multi-label classification. (English) Zbl 1507.68257

Multi-label learning with a cone-based geometric model. (English) Zbl 1476.68233

Research on fast multi-label SVM classification algorithm using divide-and-conquer strategy. (Chinese. English summary) Zbl 1474.68260

Review on multi-label feature selection. (Chinese. English summary) Zbl 1474.68290

A novel approach for learning label correlation with application to feature selection of multi-label data. (English) Zbl 1456.68145

Rule-based multi-label classification: challenges and opportunities. (English) Zbl 1478.68289

Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach. (English) Zbl 1523.65037

Multi-label feature ranking with ensemble methods. (English) Zbl 1512.68285

Bonsai: diverse and shallow trees for extreme multi-label classification. (English) Zbl 1523.68062

Active learning for hierarchical multi-label classification. (English) Zbl 1455.68177

A multi-label three-way classification algorithm based on label correlation. (Chinese. English summary) Zbl 1463.68069

Joint ranking SVM and binary relevance with robust low-rank learning for multi-label classification. (English) Zbl 1434.68474

Multi-label optimal margin distribution machine. (English) Zbl 1494.68230

Clustering-based model for predicting multi-spatial relations in images. (English) Zbl 1531.68157

Multi-target prediction: a unifying view on problems and methods. (English) Zbl 1464.62399

Improving multi-label classification with missing labels by learning label-specific features. (English) Zbl 1451.68225

Label-specific feature selection and two-level label recovery for multi-label classification with missing labels. (English) Zbl 1434.68431

An instance-based learning recommendation algorithm of imbalance handling methods. (English) Zbl 1428.68268

Learning multi labels from single label – an extreme weak label learning algorithm. (English) Zbl 1438.68077

Significance of Zadeh’s membership functions to likelihood method, semantic communication, and statistical learning. (Chinese. English summary) Zbl 1463.62293

Multi-label classification based on the deep autoencoder. (Chinese. English summary) Zbl 1438.68110

Data scarcity, robustness and extreme multi-label classification. (English) Zbl 1493.68291

Dynamic principal projection for cost-sensitive online multi-label classification. (English) Zbl 1493.62378

Supervised representation learning for multi-label classification. (English) Zbl 1491.68157

Language comprehension as a multi-label classification problem. (English) Zbl 1541.62151

Sparse multi-label bilinear embedding on Stiefel manifolds. (English) Zbl 1518.68309

Secure multi-label data classification in cloud by additionally homomorphic encryption. (English) Zbl 1441.68209

Multi-label semi-supervised classification through optimum-path forest. (English) Zbl 1441.68202

Multi-label learning with missing labels using mixed dependency graphs. (English) Zbl 1458.68187