{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T22:10:51Z","timestamp":1761862251233},"reference-count":16,"publisher":"Elsevier BV","issue":"12","license":[{"start":{"date-parts":[[2003,8,1]],"date-time":"2003-08-01T00:00:00Z","timestamp":1059696000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Pattern Recognition Letters"],"published-print":{"date-parts":[[2003,8]]},"DOI":"10.1016\/s0167-8655(03)00008-4","type":"journal-article","created":{"date-parts":[[2003,5,1]],"date-time":"2003-05-01T00:30:49Z","timestamp":1051749049000},"page":"1845-1855","source":"Crossref","is-referenced-by-count":96,"title":["Learning with progressive transductive support vector machine"],"prefix":"10.1016","volume":"24","author":[{"given":"Yisong","family":"Chen","sequence":"first","affiliation":[]},{"given":"Guoping","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Shihai","family":"Dong","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/S0167-8655(03)00008-4_BIB1","first-page":"368","article-title":"Semi-supervised support vector machines","volume":"vol. 12","author":"Bennet","year":"1998"},{"key":"10.1016\/S0167-8655(03)00008-4_BIB2","doi-asserted-by":"crossref","unstructured":"Blum, A., Mitchell, T., 1998. Combining labeled and unlabeled data with co-training. In: Annual Conference on Computational Learning Theory (COLT-98), 1998, pp. 92\u2013100","DOI":"10.1145\/279943.279962"},{"key":"10.1016\/S0167-8655(03)00008-4_BIB3","series-title":"Proceedings of the 5th Annual ACM Workshop on Computational Learning Theory","first-page":"144","article-title":"A training algorithm for optimal margin classifiers","author":"Boser","year":"1992"},{"key":"10.1016\/S0167-8655(03)00008-4_BIB4","unstructured":"Branson, K., 2001. A Naive Bayes Classifier Using Transductive Inference for Text Classification. Available from <http:\/\/www-cse.ucsd.edu\/users\/elkan\/254\/reports.html>"},{"key":"10.1016\/S0167-8655(03)00008-4_BIB5","unstructured":"Campbell, C., Cristianini, N., Smola, A., 2000. Query learning with large margin classifiers. In: Proceedings of the 17th International Conference on Machine Learing (ICML2000, Stanford, CA, 2000), Morgan Kaufmann, pp. 111\u2013118"},{"key":"10.1016\/S0167-8655(03)00008-4_BIB6","article-title":"Incremental and decremental support vector machine learning","volume":"vol. 13","author":"Cauwenberghs","year":"2001"},{"key":"10.1016\/S0167-8655(03)00008-4_BIB7","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/BF00994018","article-title":"Support vector networks","volume":"20","author":"Cortes","year":"1995","journal-title":"Mach. Learn."},{"key":"10.1016\/S0167-8655(03)00008-4_BIB8","unstructured":"Gammerman, A., Vapnik, V., Vowk, V., 1998. Learning by transduction. In: Conference on Uncertainty in Artificial Intelligence, pp. 148\u2013156"},{"key":"10.1016\/S0167-8655(03)00008-4_BIB9","unstructured":"Joachims, T., 1999a. Transductive inference for text classification using support vector machines. In: International Conference on Machine Learning (ICML), 1999, pp. 200\u2013209"},{"key":"10.1016\/S0167-8655(03)00008-4_BIB10","series-title":"Advances in Kernel Methods\u2013\u2013Support Vector Learning","article-title":"Making large-scale SVM learning practical","author":"Joachims","year":"1999"},{"key":"10.1016\/S0167-8655(03)00008-4_BIB11","doi-asserted-by":"crossref","unstructured":"Nigam, K., McCallum, A., Mitchell, T., 1998. Learning to classify text from labeled and unlabeled documents. In: Proceedings of AAAI\u2013\u20131998, pp. 792\u2013799","DOI":"10.21236\/ADA350490"},{"key":"10.1016\/S0167-8655(03)00008-4_BIB12","doi-asserted-by":"crossref","unstructured":"Osuna, E., Freund, R., Girosi, F., 1997. An improved training algorithm for support vector machines. in: Proceedings of IEEE NNSP\u201997, Amelia Island, FL, 24\u201326 September 1997, pp. 276\u2013285","DOI":"10.1109\/NNSP.1997.622408"},{"key":"10.1016\/S0167-8655(03)00008-4_BIB13","unstructured":"Platt, J., 1998. Sequential minimal optimization: A fast algorithm for training support vector machines. Technical Report MSR-TR-98-14, Microsoft Research, 1998"},{"key":"10.1016\/S0167-8655(03)00008-4_BIB14","unstructured":"Stitson, M.O., Weston, J.A.E., Gammerman, A., Vovk, V., Vapnik, V., 1996. Theory of support vector machines. Technical Report CSD-TR-96-17, Computational Intelligence Group, Royal Holloway, University of London, 1996"},{"key":"10.1016\/S0167-8655(03)00008-4_BIB15","series-title":"The Nature of Statistical Learning Theory","author":"Vapnik","year":"1995"},{"key":"10.1016\/S0167-8655(03)00008-4_BIB16","series-title":"Statistical Learning Theory","author":"Vapnik","year":"1998"}],"container-title":["Pattern Recognition Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167865503000084?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167865503000084?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2020,3,18]],"date-time":"2020-03-18T07:31:29Z","timestamp":1584516689000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0167865503000084"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,8]]},"references-count":16,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2003,8]]}},"alternative-id":["S0167865503000084"],"URL":"https:\/\/doi.org\/10.1016\/s0167-8655(03)00008-4","relation":{},"ISSN":["0167-8655"],"issn-type":[{"value":"0167-8655","type":"print"}],"subject":[],"published":{"date-parts":[[2003,8]]}}}