{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T22:03:31Z","timestamp":1725487411528},"publisher-location":"Berlin, Heidelberg","reference-count":10,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540723943"},{"type":"electronic","value":"9783540723950"}],"license":[{"start":{"date-parts":[[2007,1,1]],"date-time":"2007-01-01T00:00:00Z","timestamp":1167609600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2007]]},"DOI":"10.1007\/978-3-540-72395-0_63","type":"book-chapter","created":{"date-parts":[[2007,7,16]],"date-time":"2007-07-16T15:06:10Z","timestamp":1184598370000},"page":"497-505","source":"Crossref","is-referenced-by-count":1,"title":["A Fast and Accurate Progressive Algorithm for Training Transductive SVMs"],"prefix":"10.1007","author":[{"given":"Lei","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huading","family":"Jia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shixin","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"63_CR1","first-page":"123","volume":"24","author":"L. Breiman","year":"1996","unstructured":"Breiman, L.: Bagging Predictors. Mach. Learn.\u00a024, 123\u2013140 (1996)","journal-title":"Mach. Learn."},{"key":"63_CR2","unstructured":"Chapelle, O., Zien, A.: Semi-supervised Classification by Low Density Separation. In: Proc. 10th Int. Workshop on AI&Statistics, pp. 57\u201364 (2005)"},{"key":"63_CR3","doi-asserted-by":"crossref","unstructured":"Chi, M.M., Bruzzone, L.: A Novel Transductive SVM for Semi-supervised Classification of Remote Sensing Images. In: 11th SPIE Int. Symposium on Remote Sensing, pp. 153\u2013164 (2005)","DOI":"10.1117\/12.628862"},{"key":"63_CR4","unstructured":"Joachims, T.: Transductive Inference for Text Classification using Support Vector Machine. In: 16th Int. Conf. on Mach. Learn., pp. 200\u2013209 (1999)"},{"key":"63_CR5","first-page":"169","volume-title":"Advances in Kernel Methods: Support Vector Learning","author":"T. Joachims","year":"1999","unstructured":"Joachims, T.: Making Large-scale SVM Learning Practical. In: Sch\u00f6lkopf, B., et al. (eds.) Advances in Kernel Methods: Support Vector Learning, pp. 169\u2013184. MIT Press, Cambridge (1999)"},{"key":"63_CR6","doi-asserted-by":"publisher","first-page":"1230","DOI":"10.1016\/j.patcog.2006.01.010","volume":"39","author":"M.K. Li","year":"2006","unstructured":"Li, M.K., Sethi, I.K.: Confidence-based Classifier Design. Pattern Recognition\u00a039, 1230\u20131240 (2006)","journal-title":"Pattern Recognition"},{"key":"63_CR7","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1142\/S021848850400262X","volume":"12","author":"H. Liu","year":"2004","unstructured":"Liu, H., Huang, S.T.: Fuzzy Transductive Support Vector Machines for Hypertext Classification. Int. J. of Uncertainty, Fuzziness and Knowledge-based Systems\u00a012, 21\u201336 (2004)","journal-title":"Int. J. of Uncertainty, Fuzziness and Knowledge-based Systems"},{"key":"63_CR8","doi-asserted-by":"crossref","unstructured":"Sindhwani, V., Keerthi, S., Chapelle, O.: Deterministic Annealing for Semi-supervised Kernel Machines. In: Proc. 23rd Int. Conf. on Mach. Learn., pp. 841\u2013848 (2006)","DOI":"10.1145\/1143844.1143950"},{"key":"63_CR9","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The Nature of Statistical Learning Theory","author":"V. Vapnik","year":"1995","unstructured":"Vapnik, V.: The Nature of Statistical Learning Theory, 2nd edn. Springer, Berlin (1995)","edition":"2"},{"key":"63_CR10","doi-asserted-by":"publisher","first-page":"2187","DOI":"10.1016\/j.patrec.2005.03.034","volume":"26","author":"Y. Wang","year":"2005","unstructured":"Wang, Y., Huang, S.T.: Training TSVM with the Proper Number of Positive Samples. Pattern Recognition Letters\u00a026, 2187\u20132194 (2005)","journal-title":"Pattern Recognition Letters"}],"container-title":["Lecture Notes in Computer Science","Advances in Neural Networks \u2013 ISNN 2007"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-72395-0_63","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,21]],"date-time":"2019-05-21T20:28:24Z","timestamp":1558470504000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-72395-0_63"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007]]},"ISBN":["9783540723943","9783540723950"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-72395-0_63","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2007]]}}}