{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T08:20:57Z","timestamp":1759134057488,"version":"3.37.3"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"S1","license":[{"start":{"date-parts":[[2016,6,23]],"date-time":"2016-06-23T00:00:00Z","timestamp":1466640000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"NSFc","doi-asserted-by":"crossref","award":["61202184"],"award-info":[{"award-number":["61202184"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Natural Science Basic Research Plan in Shaanxi Province of China","award":["2015JQ6240"],"award-info":[{"award-number":["2015JQ6240"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1007\/s00521-016-2439-9","type":"journal-article","created":{"date-parts":[[2016,6,23]],"date-time":"2016-06-23T17:43:40Z","timestamp":1466703820000},"page":"1233-1243","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Classifying biomedical knowledge in PubMed using multi-label vector machines with weaker optimization constraints"],"prefix":"10.1007","volume":"28","author":[{"given":"Xia","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiarong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Su-Shing","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feijuan","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,6,23]]},"reference":[{"key":"2439_CR1","doi-asserted-by":"crossref","first-page":"1777","DOI":"10.1016\/j.patcog.2009.01.020","volume":"42","author":"H Kim","year":"2009","unstructured":"Kim H, Chen S (2009) Associative naive Bayes classifier: automated linking of gene ontology to MEDLINE documents. Pattern Recogn 42:1777\u20131785","journal-title":"Pattern Recogn"},{"issue":"8","key":"2439_CR2","doi-asserted-by":"crossref","first-page":"1772","DOI":"10.1002\/cne.23012","volume":"520","author":"L French","year":"2012","unstructured":"French L, Pavlidis P (2012) Using text mining to link journal articles to neuroanatomical databases. J Comp Neurol 520(8):1772\u20131783","journal-title":"J Comp Neurol"},{"issue":"21","key":"2439_CR3","doi-asserted-by":"crossref","first-page":"2559","DOI":"10.1093\/bioinformatics\/btn469","volume":"24","author":"Y Tsuruoka","year":"2008","unstructured":"Tsuruoka Y, Tsujii J, Ananiadou S (2008) FACTA: a text search engine for finding associated biomedical concepts. Bioinformatics 24(21):2559\u20132560","journal-title":"Bioinformatics"},{"issue":"19","key":"2439_CR4","doi-asserted-by":"crossref","first-page":"2444","DOI":"10.1093\/bioinformatics\/btl408","volume":"22","author":"C Plake","year":"2006","unstructured":"Plake C, Schiemann T, Pankalla M, Hakenberg J, Leser U (2006) AliBaba: PubMed as a graph. Bioinformatics 22(19):2444\u20132445","journal-title":"Bioinformatics"},{"key":"2439_CR5","doi-asserted-by":"crossref","first-page":"783","DOI":"10.1093\/nar\/gki470","volume":"33","author":"A Doms","year":"2005","unstructured":"Doms A, Schroeder M (2005) GoPubMed: exploring PubMed with the gene ontology. Nucleic Acids Res 33:783\u2013786","journal-title":"Nucleic Acids Res"},{"key":"2439_CR6","doi-asserted-by":"crossref","first-page":"2038","DOI":"10.1016\/j.patcog.2006.12.019","volume":"40","author":"M-L Zhang","year":"2007","unstructured":"Zhang M-L, Zhou Z-H (2007) ML-kNN: a lazy learning approach to multi-label learning. Pattern Recogn 40:2038\u20132048","journal-title":"Pattern Recogn"},{"key":"2439_CR7","first-page":"22","volume-title":"Lecture notes in artificial intelligence 3056","author":"S Godbole","year":"2004","unstructured":"Godbole S, Sarawagi S (2004) Discriminative methods for multi-labeled classification. In: Dai H, Srikant R, Zhang C (eds) Lecture notes in artificial intelligence 3056. Springer, Berlin, pp 22\u201330"},{"key":"2439_CR8","unstructured":"Zhang Y, Zhou Z-H (2008) Multi-label dimensionality reduction via dependency maximization. In: Proceedings of the 23rd AAAI conference on artificial intelligence, Chicago, IL, pp 1503\u20131505"},{"key":"2439_CR9","unstructured":"Zhang M-L, Zhou Z-H (2014) A review on multi-label learning algorithms. IEEE Trans Knowl Data Eng. http:\/\/doi.ieeecomputersociety.org\/10.1109"},{"key":"2439_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.01.012","author":"J Xu","year":"2014","unstructured":"Xu J (2014) Multi-label core vector machine with a zero label. Pattern Recogn. doi: 10.1016\/j.patcog.2014.01.012","journal-title":"Pattern Recogn"},{"issue":"9","key":"2439_CR11","doi-asserted-by":"crossref","first-page":"1757","DOI":"10.1016\/j.patcog.2004.03.009","volume":"37","author":"MR Boutell","year":"2004","unstructured":"Boutell MR, Luo J, Shen X, Brown CM (2004) Learning multi-label scene classification. Pattern Recogn 37(9):1757\u20131771","journal-title":"Pattern Recogn"},{"issue":"2\/3","key":"2439_CR12","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1023\/A:1007649029923","volume":"39","author":"RE Schapire","year":"2000","unstructured":"Schapire RE, Singer Y (2000) Boostexter: a boosting-based system for text categorization. Mach Learn 39(2\/3):135\u2013168","journal-title":"Mach Learn"},{"issue":"2","key":"2439_CR13","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1007\/s10994-008-5064-8","volume":"73","author":"J Furnkranz","year":"2008","unstructured":"Furnkranz J, Hullermeier E, Loza Menc\u00eda E, Brinker K (2008) Multilabel classification via calibrated label ranking. Machine Learning 73(2):133\u2013153","journal-title":"Machine Learning"},{"key":"2439_CR14","first-page":"406","volume-title":"Lecture notes in artificial intelligence 4701","author":"G Tsoumakas","year":"2007","unstructured":"Tsoumakas G, Vlahavas I (2007) Random k-label sets: an ensemble method for multilabel classification. In: Kok JN, Koronacki J, de Mantaras RL, Matwin S, Mladenic D, Skowron A (eds) Lecture notes in artificial intelligence 4701. Springer, Berlin, pp 406\u2013417"},{"key":"2439_CR15","doi-asserted-by":"crossref","first-page":"1609","DOI":"10.7551\/mitpress\/7503.003.0206","volume-title":"Advances in neural information processing systems 19","author":"Z-H Zhou","year":"2007","unstructured":"Zhou Z-H, Zhang M-L (2007) Multi-instance multi-label learning with application to scene classification. In: Scholkopf B, Platt J, Hoffman T (eds) Advances in neural information processing systems 19. MIT Press, Cambridge, pp 1609\u20131616"},{"key":"2439_CR16","first-page":"42","volume-title":"Lecture notes in computer science 2168","author":"A Clare","year":"2001","unstructured":"Clare A, King RD (2001) Knowledge discovery in multi-label phenotype data. In: De Raedt L, Siebes A (eds) Lecture notes in computer science 2168. Springer, Berlin, pp 42\u201353"},{"key":"2439_CR17","doi-asserted-by":"crossref","first-page":"681","DOI":"10.7551\/mitpress\/1120.003.0092","volume-title":"Advances in neural information processing systems 14","author":"A Elisseeff","year":"2002","unstructured":"Elisseeff A, Weston J (2002) A kernel method for multi-labelled classification. In: Dietterich TG, Becker S, Ghahramani Z (eds) Advances in neural information processing systems 14. MIT Press, Cambridge, pp 681\u2013687"},{"issue":"10","key":"2439_CR18","doi-asserted-by":"crossref","first-page":"1338","DOI":"10.1109\/TKDE.2006.162","volume":"18","author":"M-L Zhang","year":"2006","unstructured":"Zhang M-L, Zhou Z-H (2006) Multilabel neural networks with applications to functional genomics and text categorization. IEEE Trans Knowl Data Eng 18(10):1338\u20131351","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"2439_CR19","unstructured":"Fan R-E, Lin C-J (2007) A study on threshold selection for multi-label classification. National Taiwan University, Tech. Rep."},{"key":"2439_CR20","doi-asserted-by":"crossref","unstructured":"Ioannou M, Sakkas G, Tsoumakas G, Vlahavas I (2010) Obtaining bipartition from score vectors for multi-label classification. In: Proceedings of the 22nd IEEE international conference on tools with artificial intelligence, Arras, France, pp 409\u2013416","DOI":"10.1109\/ICTAI.2010.65"},{"issue":"9","key":"2439_CR21","doi-asserted-by":"crossref","first-page":"1757","DOI":"10.1016\/j.patcog.2004.03.009","volume":"37","author":"MR Boutell","year":"2004","unstructured":"Boutell MR, Luo J, Shen X, Brown CM (2004) Learning multi-label scene classification. Pattern Recogn 37(9):1757\u20131771","journal-title":"Pattern Recogn"},{"key":"2439_CR22","unstructured":"Bi W, Kwok JT (2011) Multi-label classification on tree- and DAG-structured hierarchies. In: Proceedings of the 28th international conference on machine learning, Bellevue, WA, pp 17\u201324"},{"key":"2439_CR23","unstructured":"Brinker K (2005) On active learning in multi-label classification. In: Proceedings of the 29th annual conference of the German Classification Society, Magdeburg, Germany, pp 206\u2013213"},{"key":"2439_CR24","unstructured":"Brinker K, Furnkranz J, Hullermeier E (2006) A unified model for multilabel classification and ranking. In: Proceedings of the 17th European conference on artificial intelligence, Riva del Garda, Italy, pp 489\u2013493"},{"issue":"2","key":"2439_CR25","doi-asserted-by":"crossref","first-page":"876","DOI":"10.1016\/j.patcog.2011.08.007","volume":"45","author":"JR Quevedo","year":"2012","unstructured":"Quevedo JR, Luaces O, Bahamonde A (2012) Multilabel classifiers with a probabilistic thresholding strategy. Pattern Recogn 45(2):876\u2013883","journal-title":"Pattern Recogn"},{"issue":"19","key":"2439_CR26","doi-asserted-by":"crossref","first-page":"3218","DOI":"10.1016\/j.ins.2009.06.010","volume":"179","author":"M-L Zhang","year":"2009","unstructured":"Zhang M-L, Pe\u00f1a JM, Robles V (2009) Feature selection for multi-label naive Bayes classification. Inf Sci 179(19):3218\u20133229","journal-title":"Inf Sci"},{"key":"2439_CR27","unstructured":"Poggio T, Mukherjee S, Rifkin R, Rakhlin A, Verri A (2001) \u2018\u2018b,\u2019\u2019 A.I. Memo No. 2001-011, CBCL Memo 198, Artificial Intelligence Laboratory, Massachusetts Institute of Technology"},{"issue":"1","key":"2439_CR28","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1109\/TNNLS.2011.2178446","volume":"23","author":"B Chen","year":"2012","unstructured":"Chen B, Zhao S, Zhu P, Principe JC (2012) Quantized kernel least mean square algorithm. IEEE Trans Neural Netw Learn Syst 23(1):22\u201332","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"6","key":"2439_CR29","doi-asserted-by":"crossref","first-page":"1484","DOI":"10.1016\/j.csda.2010.01.024","volume":"54","author":"K Brabanter De","year":"2010","unstructured":"De Brabanter K, De Brabanter J, Suykens JAK, De Moor B (2010) Optimized fixed-size kernel models for large data sets. Comput Stat Data Anal 54(6):1484\u20131504","journal-title":"Comput Stat Data Anal"},{"issue":"9","key":"2439_CR30","doi-asserted-by":"crossref","first-page":"1484","DOI":"10.1109\/TNNLS.2013.2258936","volume":"24","author":"B Chen","year":"2013","unstructured":"Chen B, Zhao S, Zhu P, Principe JC (2013) Quantized kernel recursive least squares algorithm. IEEE Trans Neural Netw Learn Syst 24(9):1484\u20131491","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"2439_CR31","doi-asserted-by":"crossref","unstructured":"Guo Y, Schuurmans D (2011) Adaptive large margin training for multilabel classification. In: Proceedings of the 25th AAAI conference on artificial intelligence, San Francico, CA, pp 374\u2013379","DOI":"10.1609\/aaai.v25i1.7895"},{"key":"2439_CR32","unstructured":"Jiang A, Wang C, Zhu Y (2008) Calibrated rank-svm for multi-label image categorization. In: Proceedings of the international joint conference on neural networks, Hong Kong, pp 1450\u20131455"},{"key":"2439_CR33","first-page":"777","volume-title":"Advances in neural information processing systems 21","author":"S Ji","year":"2009","unstructured":"Ji S, Sun L, Jin R, Ye J (2009) Multi-label multiple kernel learning. In: Koller D, Schuurmans D, Bengio Y, Bottou L (eds) Advances in neural information processing systems 21. MIT Press, Cambridge, pp 777\u2013784"},{"key":"2439_CR34","first-page":"681","volume":"14","author":"A Elisseeff","year":"2002","unstructured":"Elisseeff A, Weston J (2002) A kernel method for multi-labelled classification. Adv Neural Inf Process Syst 14:681\u2013687","journal-title":"Adv Neural Inf Process Syst"},{"issue":"3","key":"2439_CR35","doi-asserted-by":"crossref","first-page":"885","DOI":"10.1016\/j.patcog.2012.09.003","volume":"46","author":"J Xu","year":"2013","unstructured":"Xu J (2013) Fast multi-label core vector machine. Pattern Recogn 46(3):885\u2013898","journal-title":"Pattern Recogn"},{"issue":"5","key":"2439_CR36","doi-asserted-by":"crossref","first-page":"4796","DOI":"10.1016\/j.eswa.2011.09.138","volume":"39","author":"J Xu","year":"2012","unstructured":"Xu J (2012) An efficient multi-label support vector machine with a zero label. Expert Syst Appl 39(5):4796\u20134804","journal-title":"Expert Syst Appl"},{"issue":"2","key":"2439_CR37","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1109\/TSMCB.2011.2168604","volume":"42","author":"G-B Huang","year":"2012","unstructured":"Huang G-B, Xhou H, Ding X, Zhang R (2012) Extreme learning machine for regression and multiclass classification. IEEE Trans Syst Man Cybern 42(2):513\u2013529","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"9","key":"2439_CR38","first-page":"1105","volume":"37","author":"X-J Ding","year":"2011","unstructured":"Ding X-J, Zhao Y-L (2011) Influence of bias b on generalization ability of SVM for classification. Acta Autom Sin 37(9):1105\u20131113","journal-title":"Acta Autom Sin"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-016-2439-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2439-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2439-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2439-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,17]],"date-time":"2024-06-17T21:01:19Z","timestamp":1718658079000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-016-2439-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,6,23]]},"references-count":38,"journal-issue":{"issue":"S1","published-print":{"date-parts":[[2017,12]]}},"alternative-id":["2439"],"URL":"https:\/\/doi.org\/10.1007\/s00521-016-2439-9","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2016,6,23]]}}}