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 PDF BibTeX XML Cite \textit{E. Hüllermeier} et al., Mach. Learn. 111, No. 2, 713--737 (2022; Zbl 07510326) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{D. Iliadis} et al., Mach. Learn. 111, No. 2, 651--684 (2022; Zbl 07510324) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{R. Wang} et al., Inf. Sci. 554, 256--275 (2021; Zbl 1484.68198) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{P. Zhang} et al., Inf. Sci. 553, 129--153 (2021; Zbl 1483.68329) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{F. Zhou} et al., Inf. Sci. 552, 1--16 (2021; Zbl 1486.91088) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{A. A. Bidgoli} et al., Inf. Sci. 547, 1--17 (2021; Zbl 1475.68261) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{G. Lyu} et al., Inf. Sci. 543, 454--466 (2021; Zbl 1475.68283) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{A. Panos} et al., Mach. Learn. 110, No. 5, 965--987 (2021; Zbl 07432827) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{J. Huang} et al., Data Min. Knowl. Discov. 35, No. 3, 1061--1086 (2021; Zbl 1473.68148) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{M. Leemhuis} et al., Lect. Notes Comput. Sci. 12277, 177--185 (2020; Zbl 1476.68233) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{J. Liu} et al., Period. Ocean Univ. China 50, No. 12, 160--166 (2020; Zbl 1474.68260) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{E. Yao} and \textit{D. Li}, J. Zhengzhou Univ., Nat. Sci. Ed. 52, No. 4, 16--27 (2020; Zbl 1474.68290) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{X. Che} et al., Inf. Sci. 512, 795--812 (2020; Zbl 1456.68145) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{E. Hüllermeier} et al., Lect. Notes Comput. Sci. 12173, 3--19 (2020; Zbl 1478.68289) Full Text: DOI OpenURL
Jung, Jinhong; Sael, Lee Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach. (English) Zbl 07289231 Mach. Learn. 109, No. 12, 2333-2347 (2020); correction ibid. 110, No. 3, 619-620 (2021). MSC: 68T05 PDF BibTeX XML Cite \textit{J. Jung} and \textit{L. Sael}, Mach. Learn. 109, No. 12, 2333--2347 (2020; Zbl 07289231) Full Text: DOI arXiv OpenURL
Kocev, Dragi; Ceci, Michelangelo; Stepišnik, Tomaž Ensembles of extremely randomized predictive clustering trees for predicting structured outputs. (English) Zbl 07289226 Mach. Learn. 109, No. 11, 2213-2241 (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{D. Kocev} et al., Mach. Learn. 109, No. 11, 2213--2241 (2020; Zbl 07289226) Full Text: DOI OpenURL
Petković, Matej; Džeroski, Sašo; Kocev, Dragi Multi-label feature ranking with ensemble methods. (English) Zbl 07289223 Mach. Learn. 109, No. 11, 2141-2159 (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{M. Petković} et al., Mach. Learn. 109, No. 11, 2141--2159 (2020; Zbl 07289223) Full Text: DOI OpenURL
Khandagale, Sujay; Xiao, Han; Babbar, Rohit Bonsai: diverse and shallow trees for extreme multi-label classification. (English) Zbl 07289221 Mach. Learn. 109, No. 11, 2099-2119 (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{S. Khandagale} et al., Mach. Learn. 109, No. 11, 2099--2119 (2020; Zbl 07289221) Full Text: DOI arXiv OpenURL
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 PDF BibTeX XML Cite \textit{F. K. Nakano} et al., Data Min. Knowl. Discov. 34, No. 5, 1496--1530 (2020; Zbl 1455.68177) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{Y. Yu} et al., J. Shandong Univ., Nat. Sci. 55, No. 3, 81--88 (2020; Zbl 1463.68069) OpenURL
Rivolli, Adriano; Read, Jesse; Soares, Carlos; Pfahringer, Bernhard; de Carvalho, André C. P. L. F. An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. (English) Zbl 07255755 Mach. Learn. 109, No. 8, 1509-1563 (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{A. Rivolli} et al., Mach. Learn. 109, No. 8, 1509--1563 (2020; Zbl 07255755) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{G. Wu} et al., Neural Netw. 122, 24--39 (2020; Zbl 1434.68474) Full Text: DOI arXiv OpenURL
Tan, Zhi-Hao; Tan, Peng; Jiang, Yuan; Zhou, Zhi-Hua Multi-label optimal margin distribution machine. (English) Zbl 07205223 Mach. Learn. 109, No. 3, 623-642 (2020). MSC: 68T05 PDF BibTeX XML Cite \textit{Z.-H. Tan} et al., Mach. Learn. 109, No. 3, 623--642 (2020; Zbl 07205223) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{W. Waegeman} et al., Data Min. Knowl. Discov. 33, No. 2, 293--324 (2019; Zbl 1464.62399) Full Text: DOI arXiv OpenURL
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 PDF BibTeX XML Cite \textit{J. Huang} et al., Inf. Sci. 492, 124--146 (2019; Zbl 1451.68225) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{J. Ma} and \textit{T. W. S. Chow}, Neural Netw. 118, 110--126 (2019; Zbl 1434.68431) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{X. Zhang} et al., Appl. Math. Comput. 351, 204--218 (2019; Zbl 1428.68268) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{J. Duan} et al., Wuhan Univ. J. Nat. Sci. 24, No. 2, 161--168 (2019; Zbl 1438.68077) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{C. Lu} and \textit{P. Wang}, Fuzzy Syst. Math. 33, No. 2, 56--69 (2019; Zbl 1463.62293) OpenURL
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 PDF BibTeX XML Cite \textit{Y. Nie} et al., J. Guangxi Norm. Univ., Nat. Sci. 37, No. 1, 71--79 (2019; Zbl 1438.68110) Full Text: DOI OpenURL
Babbar, Rohit; Schölkopf, Bernhard Data scarcity, robustness and extreme multi-label classification. (English) Zbl 07097472 Mach. Learn. 108, No. 8-9, 1329-1351 (2019). MSC: 68T05 PDF BibTeX XML Cite \textit{R. Babbar} and \textit{B. Schölkopf}, Mach. Learn. 108, No. 8--9, 1329--1351 (2019; Zbl 07097472) Full Text: DOI OpenURL
Chu, Hong-Min; Huang, Kuan-Hao; Lin, Hsuan-Tien Dynamic principal projection for cost-sensitive online multi-label classification. (English) Zbl 07097467 Mach. Learn. 108, No. 8-9, 1193-1230 (2019). MSC: 68T05 PDF BibTeX XML Cite \textit{H.-M. Chu} et al., Mach. Learn. 108, No. 8--9, 1193--1230 (2019; Zbl 07097467) Full Text: DOI arXiv OpenURL
Huang, Ming; Zhuang, Fuzhen; Zhang, Xiao; Ao, Xiang; Niu, Zhengyu; Zhang, Min-Ling; He, Qing Supervised representation learning for multi-label classification. (English) Zbl 07073605 Mach. Learn. 108, No. 5, 747-763 (2019). MSC: 68T05 62H30 PDF BibTeX XML Cite \textit{M. Huang} et al., Mach. Learn. 108, No. 5, 747--763 (2019; Zbl 07073605) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{Y. Liu} et al., Inf. Sci. 468, 89--102 (2018; Zbl 1441.68209) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{W. P. Amorim} et al., Inf. Sci. 465, 86--104 (2018; Zbl 1441.68202) Full Text: DOI Link OpenURL
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 PDF BibTeX XML Cite \textit{B. Wu} et al., Int. J. Comput. Vis. 126, No. 8, 875--896 (2018; Zbl 1458.68187) Full Text: DOI arXiv OpenURL
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 PDF BibTeX XML Cite \textit{S. Vluymans} et al., Inf. Sci. 433--434, 96--114 (2018; Zbl 1436.68313) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{B. Liu} et al., Neural Netw. 101, 57--67 (2018; Zbl 1434.68423) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{J. Wang} et al., J. Zhengzhou Univ., Nat. Sci. Ed. 50, No. 3, 34--38 (2018; Zbl 1424.68129) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{Y. Zhang} et al., Int. J. Approx. Reasoning 103, 394--413 (2018; Zbl 1448.68431) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{Q. Zhang} et al., J. Univ. Sci. Technol. China 48, No. 1, 65--74 (2018; Zbl 1413.68107) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{S. Burkhardt} and \textit{S. Kramer}, Mach. Learn. 107, No. 5, 859--886 (2018; Zbl 1458.68159) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{T. Wei} et al., Mach. Learn. 107, No. 4, 703--725 (2018; Zbl 1457.68241) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{P. Sadhukhan} and \textit{C. A. Murthy}, Lect. Notes Comput. Sci. 10233, 90--96 (2017; Zbl 1454.68130) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{I. Pillai} et al., Pattern Recognition 61, 394--404 (2017; Zbl 1428.68144) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{Y. Liu} et al., Lect. Notes Comput. Sci. 10005, 57--73 (2017; Zbl 1439.94045) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{W. Liu} et al., J. Mach. Learn. Res. 18, Paper No. 94, 38 p. (2017; Zbl 1441.62170) Full Text: Link OpenURL
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 PDF BibTeX XML Cite \textit{A. Osojnik} et al., Mach. Learn. 106, No. 6, 745--770 (2017; Zbl 1455.68178) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{J. Xuan} et al., Mach. Learn. 106, No. 11, 1787--1815 (2017; Zbl 1434.68477) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{Y. Papanikolaou} et al., J. Mach. Learn. Res. 18, Paper No. 62, 58 p. (2017; Zbl 1434.68443) Full Text: arXiv Link OpenURL
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 PDF BibTeX XML Cite \textit{Y.-P. Wu} and \textit{H.-T. Lin}, Mach. Learn. 106, No. 5, 671--694 (2017; Zbl 1454.62203) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{S. Guo} et al., J. Xinyang Norm. Univ., Nat. Sci. 30, No. 1, 140--145 (2017; Zbl 1374.68381) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{D. Mena} et al., Mach. Learn. 106, No. 1, 143--169 (2017; Zbl 1412.68189) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{H. Li} et al., Inf. Sci. 367--368, 827--847 (2016; Zbl 1428.68243) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{W.-J. Chen} et al., Pattern Recognition 52, 61--74 (2016; Zbl 1394.68277) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{L. Ghouti}, Arab. J. Sci. Eng. 41, No. 3, 759--771 (2016; Zbl 1390.68527) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{J. Xu}, Inf. Sci. 329, 184--205 (2016; Zbl 1390.68561) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{E. Spyromitros-Xioufis} et al., Mach. Learn. 104, No. 1, 55--98 (2016; Zbl 1454.68134) Full Text: DOI arXiv OpenURL
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 PDF BibTeX XML Cite \textit{Y. Cai} and \textit{M. Yang}, J. Nanjing Univ., Nat. Sci. 52, No. 4, 693--704 (2016; Zbl 1374.68364) Full Text: DOI OpenURL
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 PDF BibTeX XML Cite \textit{X. Liang} et al., J. Nanjing Univ., Nat. Sci. 52, No. 2, 270--279 (2016; Zbl 1363.68126) Full Text: DOI OpenURL
Read, Jesse; Reutemann, Peter; Pfahringer, Bernhard; Holmes, Geoff MEKA: a multi-label/multi-target extension to WEKA. (English) Zbl 1360.68708 J. Mach. Learn. Res. 17, Paper No. 21, 5 p. (2016). MSC: 68T05 62H30 PDF BibTeX XML Cite \textit{J. Read} et al., J. Mach. Learn. Res. 17, Paper No. 21, 5 p. (2016; Zbl 1360.68708) Full Text: Link OpenURL
Meng, Jun; Wekesa, Jael-Sanyanda; Shi, Guan-Li; Luan, Yu-Shi Protein function prediction based on data fusion and functional interrelationship. (English) Zbl 1365.92035 Math. Biosci. 274, 25-32 (2016). MSC: 92C40 92-08 PDF BibTeX XML Cite \textit{J. Meng} et al., Math. Biosci. 274, 25--32 (2016; Zbl 1365.92035) Full Text: DOI OpenURL
Ramírez-Corona, Mallinali; Sucar, L. Enrique; Morales, Eduardo F. Hierarchical multilabel classification based on path evaluation. (English) Zbl 1346.68163 Int. J. Approx. Reasoning 68, 179-193 (2016). MSC: 68T05 62H30 PDF BibTeX XML Cite \textit{M. Ramírez-Corona} et al., Int. J. Approx. Reasoning 68, 179--193 (2016; Zbl 1346.68163) Full Text: DOI OpenURL
Varando, Gherardo; Bielza, Concha; Larrañaga, Pedro Decision functions for chain classifiers based on Bayesian networks for multi-label classification. (English) Zbl 1346.68166 Int. J. Approx. Reasoning 68, 164-178 (2016). MSC: 68T05 62H30 PDF BibTeX XML Cite \textit{G. Varando} et al., Int. J. Approx. Reasoning 68, 164--178 (2016; Zbl 1346.68166) Full Text: DOI OpenURL
Yang, Wenyuan; Zhou, Bufang; Zhu, William Sparse matrix feature selection in multi-label learning. (English) Zbl 1444.68165 Yao, Yiyu (ed.) et al., Rough sets, fuzzy sets, data mining, and granular computing. 15th international conference, RSFDGrC 2015, Tianjin, China, November 20–23, 2015. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 9437, 332-339 (2015). MSC: 68T05 PDF BibTeX XML Cite \textit{W. Yang} et al., Lect. Notes Comput. Sci. 9437, 332--339 (2015; Zbl 1444.68165) Full Text: DOI OpenURL
Lee, Jaesung; Kim, Dae-Won Fast multi-label feature selection based on information-theoretic feature ranking. (English) Zbl 1394.68296 Pattern Recognition 48, No. 9, 2761-2771 (2015). MSC: 68T05 94A17 PDF BibTeX XML Cite \textit{J. Lee} and \textit{D.-W. Kim}, Pattern Recognition 48, No. 9, 2761--2771 (2015; Zbl 1394.68296) Full Text: DOI OpenURL
Read, Jesse; Martino, Luca; Olmos, Pablo M.; Luengo, David Scalable multi-output label prediction: from classifier chains to classifier trellises. (English) Zbl 1374.68421 Pattern Recognition 48, No. 6, 2096-2109 (2015). MSC: 68T05 62H30 PDF BibTeX XML Cite \textit{J. Read} et al., Pattern Recognition 48, No. 6, 2096--2109 (2015; Zbl 1374.68421) Full Text: DOI arXiv OpenURL
Gao, Jun; Huang, Rong; Li, Hanxiong Sub-domain adaptation learning methodology. (English) Zbl 1360.68673 Inf. Sci. 298, 237-256 (2015). MSC: 68T05 62H30 PDF BibTeX XML Cite \textit{J. Gao} et al., Inf. Sci. 298, 237--256 (2015; Zbl 1360.68673) Full Text: DOI OpenURL
Chen, Sibao; Xu, Danyang; Luo, Bin A non-negative sparse neighbor representation for multi-label learning algorithm. (Chinese. English summary) Zbl 1349.68138 J. Univ. Electron. Sci. Technol. China 44, No. 6, 899-904 (2015). MSC: 68T05 68T10 PDF BibTeX XML Cite \textit{S. Chen} et al., J. Univ. Electron. Sci. Technol. China 44, No. 6, 899--904 (2015; Zbl 1349.68138) Full Text: DOI OpenURL
Zhang, Chenguang; Zhang, Yan; Zhang, Xiahuan Normalized dependence maximization multi-label semi-supervised learning method. (Chinese. English summary) Zbl 1349.68181 Acta Autom. Sin. 41, No. 9, 1577-1588 (2015). MSC: 68T05 PDF BibTeX XML Cite \textit{C. Zhang} et al., Acta Autom. Sin. 41, No. 9, 1577--1588 (2015; Zbl 1349.68181) Full Text: DOI OpenURL
Golzari, Fahimeh; Jalili, Saeed VR-BFDT: a variance reduction based binary fuzzy decision tree induction method for protein function prediction. (English) Zbl 1341.92052 J. Theor. Biol. 377, 10-24 (2015). MSC: 92D20 68T05 PDF BibTeX XML Cite \textit{F. Golzari} and \textit{S. Jalili}, J. Theor. Biol. 377, 10--24 (2015; Zbl 1341.92052) Full Text: DOI OpenURL
Streich, Andreas P.; Buhmann, Joachim M. Asymptotic analysis of estimators on multi-label data. (English) Zbl 1359.62263 Mach. Learn. 99, No. 3, 373-409 (2015). MSC: 62H30 68T05 PDF BibTeX XML Cite \textit{A. P. Streich} and \textit{J. M. Buhmann}, Mach. Learn. 99, No. 3, 373--409 (2015; Zbl 1359.62263) Full Text: DOI OpenURL
Xu, Jianhua Multi-label core vector machine with a zero label. (English) Zbl 1339.68232 Pattern Recognition 47, No. 7, 2542-2557 (2014). MSC: 68T05 62H30 PDF BibTeX XML Cite \textit{J. Xu}, Pattern Recognition 47, No. 7, 2542--2557 (2014; Zbl 1339.68232) Full Text: DOI OpenURL
Wu, Lei; Zhang, Minling Label-specific features on a multi-label learning algorithm. (Chinese. English summary) Zbl 1324.68121 J. Softw. 25, No. 9, 1992-2001 (2014). MSC: 68T05 PDF BibTeX XML Cite \textit{L. Wu} and \textit{M. Zhang}, J. Softw. 25, No. 9, 1992--2001 (2014; Zbl 1324.68121) Full Text: DOI OpenURL
Han, Le; Li, Ming Open source software classification using cost-sensitive multi-label learning. (Chinese. English summary) Zbl 1324.68090 J. Softw. 25, No. 9, 1982-1991 (2014). MSC: 68T05 68N99 PDF BibTeX XML Cite \textit{L. Han} and \textit{M. Li}, J. Softw. 25, No. 9, 1982--1991 (2014; Zbl 1324.68090) Full Text: DOI OpenURL
He, Zhifen; Yang, Ming; Liu, Huidong Joint learning of multi-label classification and label correlations. (Chinese. English summary) Zbl 1324.68095 J. Softw. 25, No. 9, 1967-1981 (2014). MSC: 68T05 68T10 PDF BibTeX XML Cite \textit{Z. He} et al., J. Softw. 25, No. 9, 1967--1981 (2014; Zbl 1324.68095) Full Text: DOI OpenURL
Samei, Rahim; Yang, Boting; Zilles, Sandra Generalizing labeled and unlabeled sample compression to multi-label concept classes. (English) Zbl 1432.68398 Auer, Peter (ed.) et al., Algorithmic learning theory. 25th international conference, ALT 2014, Bled, Slovenia, October 8–10, 2014. Proceedings. Berlin: Springer. Lect. Notes Comput. Sci. 8776, 275-290 (2014). MSC: 68T05 68P30 PDF BibTeX XML Cite \textit{R. Samei} et al., Lect. Notes Comput. Sci. 8776, 275--290 (2014; Zbl 1432.68398) Full Text: DOI OpenURL
Varando, Gherardo; Bielza, Concha; Larrañaga, Pedro Expressive power of binary relevance and chain classifiers based on Bayesian networks for multi-label classification. (English) Zbl 1443.62189 van der Gaag, Linda C. (ed.) et al., Probabilistic graphical models. 7th European workshop, PGM 2014, Utrecht, The Netherlands, September 17–19, 2014. Proceedings. Berlin: Springer. Lect. Notes Comput. Sci. 8754, 519-534 (2014). MSC: 62H30 62H22 68T05 PDF BibTeX XML Cite \textit{G. Varando} et al., Lect. Notes Comput. Sci. 8754, 519--534 (2014; Zbl 1443.62189) Full Text: DOI Link OpenURL
Cerri, Ricardo; Barros, Rodrigo C.; de Carvalho, André C. P. L. F. Hierarchical multi-label classification using local neural networks. (English) Zbl 1311.68132 J. Comput. Syst. Sci. 80, No. 1, 39-56 (2014). MSC: 68T05 PDF BibTeX XML Cite \textit{R. Cerri} et al., J. Comput. Syst. Sci. 80, No. 1, 39--56 (2014; Zbl 1311.68132) Full Text: DOI OpenURL
Yu, Ying; Pedrycz, Witold; Miao, Duoqian Neighborhood rough sets based multi-label classification for automatic image annotation. (English) Zbl 1316.68122 Int. J. Approx. Reasoning 54, No. 9, 1373-1387 (2013). MSC: 68T05 62H30 68T10 PDF BibTeX XML Cite \textit{Y. Yu} et al., Int. J. Approx. Reasoning 54, No. 9, 1373--1387 (2013; Zbl 1316.68122) Full Text: DOI OpenURL
Pillai, Ignazio; Fumera, Giorgio; Roli, Fabio Threshold optimisation for multi-label classifiers. (English) Zbl 1296.68140 Pattern Recognition 46, No. 7, 2055-2065 (2013). MSC: 68T05 68T10 PDF BibTeX XML Cite \textit{I. Pillai} et al., Pattern Recognition 46, No. 7, 2055--2065 (2013; Zbl 1296.68140) Full Text: DOI OpenURL
Gao, Wei; Zhou, Zhi-Hua On the consistency of multi-label learning. (English) Zbl 1284.68496 Artif. Intell. 199-200, 22-44 (2013). MSC: 68T05 62H30 PDF BibTeX XML Cite \textit{W. Gao} and \textit{Z.-H. Zhou}, Artif. Intell. 199--200, 22--44 (2013; Zbl 1284.68496) Full Text: DOI OpenURL
Fan, Haixiong; Liu, Fuxian; Xia, Lu A multi-label unbalanced classification algorithm based on a probabilistic LS-SVM. (Chinese. English summary) Zbl 1289.68072 J. PLA Univ. Sci. Technol., Nat. Sci. 14, No. 2, 169-175 (2013). MSC: 68T05 PDF BibTeX XML Cite \textit{H. Fan} et al., J. PLA Univ. Sci. Technol., Nat. Sci. 14, No. 2, 169--175 (2013; Zbl 1289.68072) OpenURL
Chekina, Lena; Gutfreund, Dan; Kontorovich, Aryeh; Rokach, Lior; Shapira, Bracha Exploiting label dependencies for improved sample complexity. (English) Zbl 1273.68294 Mach. Learn. 91, No. 1, 1-42 (2013). MSC: 68T05 62H30 PDF BibTeX XML Cite \textit{L. Chekina} et al., Mach. Learn. 91, No. 1, 1--42 (2013; Zbl 1273.68294) Full Text: DOI OpenURL
Xu, Jianhua Fast multi-label core vector machine. (English) Zbl 1254.68233 Pattern Recognition 46, No. 3, 885-898 (2013). MSC: 68T05 90C20 PDF BibTeX XML Cite \textit{J. Xu}, Pattern Recognition 46, No. 3, 885--898 (2013; Zbl 1254.68233) Full Text: DOI OpenURL
Sapozhnikov, German; Ulanov, Alexander Extracting hierarchies from data clusters for better classification. (English) Zbl 1461.68197 Algorithms (Basel) 5, No. 4, 506-520 (2012). MSC: 68T05 62H30 PDF BibTeX XML Cite \textit{G. Sapozhnikov} and \textit{A. Ulanov}, Algorithms (Basel) 5, No. 4, 506--520 (2012; Zbl 1461.68197) Full Text: DOI OpenURL
Mei, Suyu Predicting plant protein subcellular multi-localization by Chou’s PseAAC formulation based multi-label homolog knowledge transfer learning. (English) Zbl 1337.92065 J. Theor. Biol. 310, 80-87 (2012); corrigendum ibid. 338, 111 (2013). MSC: 92C40 92C80 PDF BibTeX XML Cite \textit{S. Mei}, J. Theor. Biol. 310, 80--87 (2012; Zbl 1337.92065) Full Text: DOI OpenURL
He, Jianjun; Gu, Hong; Wang, Zhelong Bayesian multi-instance multi-label learning using Gaussian process prior. (English) Zbl 1243.68242 Mach. Learn. 88, No. 1-2, 273-295 (2012). MSC: 68T05 60G15 PDF BibTeX XML Cite \textit{J. He} et al., Mach. Learn. 88, No. 1--2, 273--295 (2012; Zbl 1243.68242) Full Text: DOI OpenURL
Rubin, Timothy N.; Chambers, America; Smyth, Padhraic; Steyvers, Mark Statistical topic models for multi-label document classification. (English) Zbl 1243.68248 Mach. Learn. 88, No. 1-2, 157-208 (2012). MSC: 68T05 68T10 PDF BibTeX XML Cite \textit{T. N. Rubin} et al., Mach. Learn. 88, No. 1--2, 157--208 (2012; Zbl 1243.68248) Full Text: DOI arXiv OpenURL
Hariharan, Bharath; Vishwanathan, S. V. N.; Varma, Manik Efficient max-margin multi-label classification with applications to zero-shot learning. (English) Zbl 1243.68241 Mach. Learn. 88, No. 1-2, 127-155 (2012). MSC: 68T05 68T10 PDF BibTeX XML Cite \textit{B. Hariharan} et al., Mach. Learn. 88, No. 1--2, 127--155 (2012; Zbl 1243.68241) Full Text: DOI OpenURL
Zhou, Tianyi; Tao, Dacheng; Wu, Xindong Compressed labeling on distilled labelsets for multi-label learning. (English) Zbl 1243.68259 Mach. Learn. 88, No. 1-2, 69-126 (2012). MSC: 68T05 62H30 PDF BibTeX XML Cite \textit{T. Zhou} et al., Mach. Learn. 88, No. 1--2, 69--126 (2012; Zbl 1243.68259) Full Text: DOI OpenURL
Dembczyński, Krzysztof; Waegeman, Willem; Cheng, Weiwei; Hüllermeier, Eyke On label dependence and loss minimization in multi-label classification. (English) Zbl 1243.68237 Mach. Learn. 88, No. 1-2, 5-45 (2012). MSC: 68T05 62H30 PDF BibTeX XML Cite \textit{K. Dembczyński} et al., Mach. Learn. 88, No. 1--2, 5--45 (2012; Zbl 1243.68237) Full Text: DOI OpenURL
Zhou, Zhi-Hua; Zhang, Min-Ling; Huang, Sheng-Jun; Li, Yu-Feng Multi-instance multi-label learning. (English) Zbl 1238.68139 Artif. Intell. 176, No. 1, 2291-2320 (2012). MSC: 68T05 PDF BibTeX XML Cite \textit{Z.-H. Zhou} et al., Artif. Intell. 176, No. 1, 2291--2320 (2012; Zbl 1238.68139) Full Text: DOI OpenURL
Tsoumakas, Grigorios; Spyromitros-Xioufis, Eleftherios; Vilcek, Jozef; Vlahavas, Ioannis MULAN: a Java library for multi-label learning. (English) Zbl 1280.68207 J. Mach. Learn. Res. 12, 2411-2414 (2011). MSC: 68T05 PDF BibTeX XML Cite \textit{G. Tsoumakas} et al., J. Mach. Learn. Res. 12, 2411--2414 (2011; Zbl 1280.68207) Full Text: Link OpenURL
Kajdanowicz, Tomasz; Kazienko, Przemysław Boosting-based sequential output prediction. (English) Zbl 1251.68180 New Generation Comput. 29, No. 3, 293-307 (2011). MSC: 68T05 62H30 PDF BibTeX XML Cite \textit{T. Kajdanowicz} and \textit{P. Kazienko}, New Generation Comput. 29, No. 3, 293--307 (2011; Zbl 1251.68180) Full Text: DOI OpenURL
Vijayanarasimhan, Sudheendra; Grauman, Kristen Cost-sensitive active visual category learning. (English) Zbl 1235.68296 Int. J. Comput. Vis. 91, No. 1, 24-44 (2011). MSC: 68T45 68T05 PDF BibTeX XML Cite \textit{S. Vijayanarasimhan} and \textit{K. Grauman}, Int. J. Comput. Vis. 91, No. 1, 24--44 (2011; Zbl 1235.68296) Full Text: DOI OpenURL
Bielza, C.; Li, G.; Larrañaga, P. Multi-dimensional classification with Bayesian networks. (English) Zbl 1226.68078 Int. J. Approx. Reasoning 52, No. 6, 705-727 (2011). MSC: 68T05 PDF BibTeX XML Cite \textit{C. Bielza} et al., Int. J. Approx. Reasoning 52, No. 6, 705--727 (2011; Zbl 1226.68078) Full Text: DOI OpenURL
Wang, Jingdong; Zhao, Yinghai; Wu, Xiuqing; Hua, Xian-Sheng A transductive multi-label learning approach for video concept detection. (English) Zbl 1218.68135 Pattern Recognition 44, No. 10-11, 2274-2286 (2011). MSC: 68T05 68T10 PDF BibTeX XML Cite \textit{J. Wang} et al., Pattern Recognition 44, No. 10--11, 2274--2286 (2011; Zbl 1218.68135) Full Text: DOI OpenURL
Vens, Celine; Schietgat, Leander; Struyf, Jan; Blockeel, Hendrik; Kocev, Dragi Predicting gene function using predictive clustering trees. (English) Zbl 1211.68172 Džeroski, Sašo (ed.) et al., Inductive databases and constraint-based data mining. New York, NY: Springer (ISBN 978-1-4419-7737-3/hbk; 978-1-4419-7738-0/ebook). 365-387 (2010). MSC: 68P15 68T10 68T05 PDF BibTeX XML Cite \textit{C. Vens} et al., in: Inductive databases and constraint-based data mining. New York, NY: Springer. 365--387 (2010; Zbl 1211.68172) Full Text: DOI OpenURL
Denœux, Thierry; Masson, Marie-Hélène Dempster-Shafer reasoning in large partially ordered sets: applications in machine learning. (English) Zbl 1215.68228 Huynh, Van-Nam (ed.) et al., Integrated uncertainty management and applications. Selected papers based on the presentations at the 2010 international symposium on integrated uncertainty managment and applications (IUM 2010), Ishikawa, Japan, April 9–11, 2010. Berlin: Springer (ISBN 978-3-642-11959-0/pbk; 978-3-642-11960-6/ebook). Advances in Intelligent and Soft Computing 68, 39-54 (2010). MSC: 68T37 68T05 PDF BibTeX XML Cite \textit{T. Denœux} and \textit{M.-H. Masson}, Adv. Intell. Soft Comput. 68, 39--54 (2010; Zbl 1215.68228) Full Text: DOI HAL OpenURL