{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:16:46Z","timestamp":1758269806428},"reference-count":20,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2015,6,30]],"date-time":"2015-06-30T00:00:00Z","timestamp":1435622400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2015,8]]},"DOI":"10.1007\/s13042-015-0390-1","type":"journal-article","created":{"date-parts":[[2015,6,29]],"date-time":"2015-06-29T11:56:35Z","timestamp":1435578995000},"page":"667-676","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Semi-supervised classification with privileged information"],"prefix":"10.1007","volume":"6","author":[{"given":"Zhiquan","family":"Qi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingjie","family":"Tian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingfeng","family":"Niu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,6,30]]},"reference":[{"issue":"5\u20136","key":"390_CR1","doi-asserted-by":"crossref","first-page":"544","DOI":"10.1016\/j.neunet.2009.06.042","volume":"22","author":"V Vapnik","year":"2009","unstructured":"Vapnik V, Vashist A (2009) A new learning paradigm: learning using privileged information. Neural Netw 22(5\u20136):544\u2013557","journal-title":"Neural Netw"},{"key":"390_CR2","doi-asserted-by":"crossref","unstructured":"Vapnik V (1995) The nature of statistical learning theory. Springer, New York","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"390_CR3","doi-asserted-by":"crossref","unstructured":"Vapnik V (1996) The nature of statistical learning theory. Springer, New York","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"390_CR4","doi-asserted-by":"crossref","unstructured":"Vapnik V (2006) Estimation of dependences based on empirical data (information science and statistics). Springer, Berlin","DOI":"10.1007\/0-387-34239-7"},{"key":"390_CR5","unstructured":"Pechyony D, Vapnik V (2010) On the theory of learning with privileged information. In: Advances in neural information processing systems, vol 23"},{"key":"390_CR6","unstructured":"Pechyony D, Izmailov R, Vashist A, Vapnik V (2010) Smo-style algorithms for learning using privileged information. In: DMIN. CSREA Press, Providence, pp 235\u2013241"},{"key":"390_CR7","unstructured":"Seeger M (2001) Learning with labeled and unlabeled data. Technical report"},{"key":"390_CR8","doi-asserted-by":"crossref","unstructured":"Chapelle O, Sch\u00f6lkopf B, Zien A (eds) (2006) Semi-supervised learning (adaptive computation and machine learning). The MIT Press, Cambridge","DOI":"10.7551\/mitpress\/9780262033589.001.0001"},{"key":"390_CR9","unstructured":"Zhu X (2006) Semi-supervised learning literature survey. Technical Report 15304, University of Wisconsin, Madison"},{"key":"390_CR10","doi-asserted-by":"crossref","unstructured":"Belkin M, Matveeva I, Niyogi P (2004) Regularization and semi-supervised learning on large graphs. In: COLT. Springer, Berlin, pp 624\u2013638","DOI":"10.1109\/ICASSP.2004.1326716"},{"key":"390_CR11","unstructured":"Grandvalet Y, Bengio Y (2005) Semi-supervised learning by entropy minimization. In: CAP, PUG, pp 281\u2013296"},{"key":"390_CR12","first-page":"2399","volume":"7","author":"M Belkin","year":"2006","unstructured":"Belkin M, Niyogi P, Sindhwani V (2006) Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. J Mach Learn Res 7:2399\u20132434","journal-title":"J Mach Learn Res"},{"key":"390_CR13","unstructured":"Joachims T (2003) Transductive learning via spectral graph partitioning. In: ICML, pp 290\u2013297"},{"key":"390_CR14","unstructured":"Belkin M, Niyogi P (2002) Using manifold structure for partially labelled classification. In: NIPS, pp 953\u2013960"},{"key":"390_CR15","unstructured":"Zhu X, Ghahramani Z, Lafferty J (2003) Semi-supervised learning using gaussian fields and harmonic functions. In: ICML, pp 912\u2013919"},{"key":"390_CR16","unstructured":"Deng N, Tian Y, Zhang C (2011) Optimization based data mining: theory and applications. Springer Press, Berlin"},{"key":"390_CR17","doi-asserted-by":"crossref","unstructured":"Tian Y, Yong S, Xiaohui L (2012) Recent advances on support vector machines research. Technol Econ Dev Econ 18(1): 5\u201333","DOI":"10.3846\/20294913.2012.661205"},{"issue":"4300","key":"390_CR18","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1126\/science.267326","volume":"197","author":"MC Mackey","year":"1977","unstructured":"Mackey MC, Glass L (1977) Oscillation and chaos in physiological control systems. Science 197(4300):287\u2013289","journal-title":"Science"},{"key":"390_CR19","unstructured":"Everingham M, Zisserman A, Williams CKI, Van Gool L (2006) The PASCAL visual object classes challenge 2006 (VOC 2006) results. http:\/\/www.pascal-network.org\/challenges\/VOC\/voc2006\/results.pdf"},{"key":"390_CR20","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1109\/83.892450","volume":"10","author":"Y Deng","year":"2001","unstructured":"Deng Y, Manjunath BS, Kenney C, Moore MS, Member S, Shin H (2001) An efficient color representation for image retrieval. IEEE Trans Image Process 10:140\u2013147","journal-title":"IEEE Trans Image Process"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-015-0390-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-015-0390-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-015-0390-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,4]],"date-time":"2020-09-04T05:50:34Z","timestamp":1599198634000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-015-0390-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6,30]]},"references-count":20,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2015,8]]}},"alternative-id":["390"],"URL":"https:\/\/doi.org\/10.1007\/s13042-015-0390-1","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,6,30]]}}}