{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,13]],"date-time":"2025-09-13T16:32:50Z","timestamp":1757781170985},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319080093"},{"type":"electronic","value":"9783319080109"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-08010-9_69","type":"book-chapter","created":{"date-parts":[[2014,6,18]],"date-time":"2014-06-18T18:17:50Z","timestamp":1403115470000},"page":"645-656","source":"Crossref","is-referenced-by-count":1,"title":["PPML: Penalized Partial Least Squares Discriminant Analysis for Multi-Label Learning"],"prefix":"10.1007","author":[{"given":"Zongjie","family":"Ma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huawen","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaile","family":"Su","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhonglong","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"7","key":"69_CR1","doi-asserted-by":"publisher","first-page":"830","DOI":"10.1093\/bioinformatics\/btk048","volume":"22","author":"Z. Barutcuoglu","year":"2006","unstructured":"Barutcuoglu, Z., Schapire, R., Troyanskaya, O.: Hierarchical multi-label prediction of gene function. Bioinformatics\u00a022(7), 830\u2013836 (2006)","journal-title":"Bioinformatics"},{"key":"69_CR2","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1109\/TCSVT.2007.890829","volume":"17","author":"S. Yang","year":"2007","unstructured":"Yang, S., Kim, S., Ro, Y.: Semantic home photo categorization. IEEE Transactions on Circuits and Systems for Video Technology\u00a017, 324\u2013335 (2007)","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"69_CR3","unstructured":"Read, J.: Scalable multi-label classification, PhD thesis, University of Waikato, Hamilton, New Zealand (2010)"},{"key":"69_CR4","doi-asserted-by":"crossref","unstructured":"Tsoumakas, G., Katakis, I., Vlahavas, I.: Mining multi-label data. In: Maimon, O., Rokach, L. (eds.) Data Mining and Knowledge Discovery Handbook, 2nd edn., Spring (2010)","DOI":"10.1007\/978-0-387-09823-4_34"},{"issue":"7","key":"69_CR5","doi-asserted-by":"publisher","first-page":"1079","DOI":"10.1109\/TKDE.2010.164","volume":"23","author":"G. Tsoumakas","year":"2011","unstructured":"Tsoumakas, G., Katakis, I., Vlahavas, I.: Randomk-Labelsets for Multi-Label Classification. IEEE Transactions on Knowledge and Data Engineering\u00a023(7), 1079\u20131089 (2011)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"issue":"7","key":"69_CR6","doi-asserted-by":"publisher","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.: ML-kNN: a lazy learning approach to multi-label learning. Pattern Recognition\u00a040(7), 2038\u20132048 (2007)","journal-title":"Pattern Recognition"},{"issue":"10","key":"69_CR7","doi-asserted-by":"publisher","first-page":"1338","DOI":"10.1109\/TKDE.2006.162","volume":"18","author":"M.-L. Zhang","year":"2006","unstructured":"Zhang, M.-L., Zhou, Z.-H.: Multi-label Neural Network with Applications to Functional Genomics and Text Categorization. IEEE Transactions on Knowledge and Data Engineering\u00a018(10), 1338\u20131351 (2006)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"69_CR8","doi-asserted-by":"crossref","DOI":"10.1515\/9781400874668","volume-title":"Adaptive Control Processes: A Guided Tour","author":"R. Bellman","year":"1961","unstructured":"Bellman, R.: Adaptive Control Processes: A Guided Tour. Princeton University Press, Princeton (1961)"},{"key":"69_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-1904-8","volume-title":"Principal Component Analysis","author":"I. Jolliffe","year":"1986","unstructured":"Jolliffe, I.: Principal Component Analysis. Springer, New York (1986)"},{"key":"69_CR10","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1111\/j.1469-1809.1936.tb02137.x","volume":"7","author":"R. Fisher","year":"1936","unstructured":"Fisher, R.: The use of multiple measurements in taxonomic problems. Annals of Eugenics\u00a07, 179\u2013188 (1936)","journal-title":"Annals of Eugenics"},{"key":"69_CR11","doi-asserted-by":"publisher","first-page":"312","DOI":"10.1093\/biomet\/28.3-4.321","volume":"28","author":"H. Hotelling","year":"1936","unstructured":"Hotelling, H.: Relations between two sets of variables. Biometrika\u00a028, 312\u2013377 (1936)","journal-title":"Biometrika"},{"key":"69_CR12","doi-asserted-by":"crossref","unstructured":"Huang, S.-J., Zhou, Z.-H.: Multi-label learning by exploiting label correlations locally. In: Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI 2012), Toronto, Canada, pp. 949\u2013955. AAAI Press (2012)","DOI":"10.1609\/aaai.v26i1.8287"},{"key":"69_CR13","doi-asserted-by":"crossref","unstructured":"Xu, M., Li, Y.-F., Zhou, Z.-H.: Multi-Label Learning with PRO Loss. In: Proceedings of the 27th AAAI Conference on Artificial Intelligence (AAAI 2013), Bellevue, WA (2013)","DOI":"10.1609\/aaai.v27i1.8689"},{"issue":"1","key":"69_CR14","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1109\/TPAMI.2010.160","volume":"33","author":"L. Sun","year":"2011","unstructured":"Sun, L., Ji, S.-W., Ye, J.-P.: Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation. Extensions, and Analysis, Pattern Analysis and IEEE Transactions on Machine Intelligence\u00a033(1), 194 (2011)","journal-title":"Extensions, and Analysis, Pattern Analysis and IEEE Transactions on Machine Intelligence"},{"key":"69_CR15","doi-asserted-by":"crossref","unstructured":"Qian, B., Davidson, I.: Semi-supervised dimension reduction for multi-label classification. In: Proceedings of the 24th AAAI Conference on Artificial Intelligence (2010)","DOI":"10.1609\/aaai.v24i1.7693"},{"key":"69_CR16","doi-asserted-by":"crossref","unstructured":"Zhang, M.-L., Zhang, K.: Multi-label learning by exploiting label dependency. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, D.C., pp. 999\u20131007 (2010)","DOI":"10.1145\/1835804.1835930"},{"key":"69_CR17","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1016\/B978-0-12-103950-9.50017-4","volume-title":"Quantitative Sociology: International Perspectives on Mathematical and Statistical Modeling","author":"H. Wold","year":"1975","unstructured":"Wold, H.: Path Models with Latent Variables: The NIPALS Approach. In: Blalock, H.M., Aganbegian, A., Borodkin, F.M., Boudon, R., Capecchi, V. (eds.) Quantitative Sociology: International Perspectives on Mathematical and Statistical Modeling, pp. 307\u2013357. Academic Press, New York (1975)"},{"issue":"1","key":"69_CR18","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1080\/00401706.1970.10488634","volume":"12","author":"A.. Hoerl","year":"1970","unstructured":"Hoerl, A., Kennard, R.: Ridge regression: Biased estimation for nonorthogonal problems. Technometrics\u00a012(1), 55\u201367 (1970)","journal-title":"Technometrics"},{"issue":"2","key":"69_CR19","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1007\/s10994-008-5064-8","volume":"23","author":"J. Frnkranz","year":"2008","unstructured":"Frnkranz, J., Hllermeier, E., Menca, E.L., Brinker, K.: Multilabel classification via calibrated label ranking. Machine Learning\u00a023(2), 133\u2013153 (2008)","journal-title":"Machine Learning"},{"key":"69_CR20","unstructured":"Tsoumakas, G., Dimou, A., Spyromitros, E., Mezaris, V., Kompatsiaris, I., Vlahavas, I.: Correlation-based pruning of stacked binary relevance models for multi-label learning. In: Proceedings of the Workshop on Learning from Multi-Label Data (MLD 2009), pp. 101\u2013116 (2009)"},{"key":"69_CR21","doi-asserted-by":"crossref","unstructured":"Zhang, M.-L., Zhou, Z.-H.: A review on multi-label learning algorithms. In: IEEE Transactions on Knowledge and Data Engineering (2013) doI:10.1109\/TKDE.2013.39","DOI":"10.1109\/TKDE.2013.39"},{"key":"69_CR22","unstructured":"Read, J.: A pruned problem transformation method for multi-label classification. In: Proc. 2008 New Zealand Computer Science Research Student Conference (NZCSRS 2008), pp. 143\u2013150 (2008)"},{"key":"69_CR23","doi-asserted-by":"crossref","unstructured":"Read, J., Pfahringer, B., Holmes, G., Frank, E.: Classifier chains for multi-label classification. In: ECML\/PKDD\u00a02009, pp. 254\u2013269 (2009)","DOI":"10.1007\/978-3-642-04174-7_17"},{"key":"69_CR24","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1007\/3-540-44794-6_4","volume-title":"Principles of Data Mining and Knowledge Discovery","author":"A.J. Clare","year":"2001","unstructured":"Clare, A.J., King, R.D.: Knowledge Discovery in Multi-label Phenotype Data. In: Siebes, A., De Raedt, L. (eds.) PKDD 2001. LNCS (LNAI), vol.\u00a02168, pp. 42\u201353. Springer, Heidelberg (2001)"},{"key":"69_CR25","first-page":"681","volume-title":"Advances in Neural Information Processing Systems","author":"A. Elisseeff","year":"2002","unstructured":"Elisseeff, A., Weston, J.: A kernel method for multi-labelled classification. In: Dietterich, G., Becker, S., Ghahramani, Z. (eds.) Advances in Neural Information Processing Systems, vol.\u00a014, pp. 681\u2013687. MIT Press, Cambridge (2002)"},{"issue":"1","key":"69_CR26","first-page":"19","volume":"11","author":"J. Mairal","year":"2010","unstructured":"Mairal, J., Bach, F., Ponce, J., Sapiro, G.: Online learning for matrix factorization and sparse coding. Journal of Machine Learning Research\u00a011(1), 19\u201360 (2010)","journal-title":"Journal of Machine Learning Research"},{"key":"69_CR27","unstructured":"Jenatton, R., Mairal, J., Obozinski, G., Bach, F.: Proximal methods for sparse hierarchical dictionary learning. In: Proceedings of the International Conference on Machine Learning, ICML (2010)"},{"issue":"5","key":"69_CR28","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1016\/0892-0362(89)90025-1","volume":"11","author":"P. Sampson","year":"1989","unstructured":"Sampson, P., Streissguth, A., Barr, H., Bookstein, F.: eurobehavioral effects of prenatal alcohol: Part II. Partial Least Squares Analysis, Neurotoxicology and Teratology\u00a011(5), 477\u2013491 (1989)","journal-title":"Partial Least Squares Analysis, Neurotoxicology and Teratology"},{"issue":"3","key":"69_CR29","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1016\/0169-7439(93)85002-X","volume":"18","author":"S. Jong De","year":"1993","unstructured":"De Jong, S.: SIMPLS: an alternative approach to partial least squares regression. Chemometrics and Intelligent Laboratory Systems\u00a018(3), 251\u2013263 (1993)","journal-title":"Chemometrics and Intelligent Laboratory Systems"},{"key":"69_CR30","series-title":"LNAI","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1007\/978-3-540-87881-0_40","volume-title":"Artificial Intelligence: Theories, Models and Applications","author":"E. Spyromitros","year":"2008","unstructured":"Spyromitros, E., Tsoumakas, G., Vlahavas, I.P.: An Empirical Study of Lazy Multilabel Classification Algorithms. In: Darzentas, J., Vouros, G.A., Vosinakis, S., Arnellos, A. (eds.) SETN 2008. LNCS (LNAI), vol.\u00a05138, pp. 401\u2013406. Springer, Heidelberg (2008)"},{"key":"69_CR31","doi-asserted-by":"crossref","unstructured":"Cheng, W., H $\\ddot{u}$ llermeier, E.: Combining instance-based learning and logistic regression for multilabel classification. Machine Learning 76(2-3), 211\u2013225 (2009)","DOI":"10.1007\/s10994-009-5127-5"},{"key":"69_CR32","first-page":"2411","volume":"12","author":"G. Tsoumakas","year":"2011","unstructured":"Tsoumakas, G., Spyromitros-Xioufis, E., Vilcek, J., Vlahavas, I.: Mulan: A Java Library for Multi-Label Learning. Journal of Machine Learning Research\u00a012, 2411\u20132414 (2011)","journal-title":"Journal of Machine Learning Research"},{"key":"69_CR33","doi-asserted-by":"crossref","unstructured":"Huang, S.-J., Yu, Y., Zhou, Z.-H.: Multi-label hypothesis reuse. In: Proceedings of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Beijing, China, pp. 525\u2013533 (2012)","DOI":"10.1145\/2339530.2339615"}],"container-title":["Lecture Notes in Computer Science","Web-Age Information Management"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-08010-9_69","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,14]],"date-time":"2023-07-14T06:58:49Z","timestamp":1689317929000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-08010-9_69"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319080093","9783319080109"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-08010-9_69","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2014]]}}}