{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T19:55:47Z","timestamp":1725566147749},"publisher-location":"Berlin, Heidelberg","reference-count":10,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540228813"},{"type":"electronic","value":"9783540286516"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004]]},"DOI":"10.1007\/978-3-540-28651-6_107","type":"book-chapter","created":{"date-parts":[[2010,9,16]],"date-time":"2010-09-16T20:04:40Z","timestamp":1284667480000},"page":"720-725","source":"Crossref","is-referenced-by-count":8,"title":["Generating the Reduced Set by Systematic Sampling"],"prefix":"10.1007","author":[{"given":"Chien-Chung","family":"Chang","sequence":"first","affiliation":[]},{"given":"Yuh-Jye","family":"Lee","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"2","key":"107_CR1","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1023\/A:1009715923555","volume":"2","author":"C.J.C. Burges","year":"1998","unstructured":"Burges, C.J.C.: A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery\u00a02(2), 121\u2013167 (1998)","journal-title":"Data Mining and Knowledge Discovery"},{"key":"107_CR2","unstructured":"Center, M.I.T.: for Biological and Computation Learning. Cbcl face database (1) (2000), http:\/\/www.ai.mit.edu\/projects\/cbcl"},{"key":"107_CR3","first-page":"77","volume-title":"Proceedings KDD-2001: Knowledge Discovery and Data Mining","author":"G. Fung","year":"2001","unstructured":"Fung, G., Mangasarian, O.L.: Proximal support vector machine classifiers. In: Provost, F., Srikant, R. (eds.) Proceedings KDD-2001: Knowledge Discovery and Data Mining, San Francisco, CA, August 26-29, pp. 77\u201386. Asscociation for Computing Machinery, New York (2001), ftp:\/\/ftp.cs.wisc.edu\/pub\/dmi\/techreports\/01-02.ps"},{"key":"107_CR4","unstructured":"Lee, Y.-J., Hsieh, W.-F.: \u03b5-ssvr: A smooth support vector machine for \u03b5-insensitive regression. IEEE Transactions on Knowledge and Data Engineering (2003) (submitted)"},{"key":"#cr-split#-107_CR5.1","doi-asserted-by":"crossref","unstructured":"Lee, Y.-J., Mangasarian, O.L.: RSVM: Reduced support vector machines. Technical Report 00-07, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin (July 2000);","DOI":"10.1137\/1.9781611972719.13"},{"key":"#cr-split#-107_CR5.2","unstructured":"Proceedings of the First SIAM International Conference on Data Mining, Chicago, April 5-7 (2001), CD-ROM Proceedings, ftp:\/\/ftp.cs.wisc.edu\/pub\/dmi\/tech-reports\/00-07.ps"},{"key":"107_CR6","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1011215321374","volume":"20","author":"Y.-J. Lee","year":"2001","unstructured":"Lee, Y.-J., Mangasarian, O.L.: SSVM: A smooth support vector machine. Computational Optimization and Applications\u00a020, 5\u201322 (2001); Data Mining Institute, University of Wisconsin, Technical Report 99-03, ftp:\/\/ftp.cs.wisc.edu\/pub\/dmi\/tech-reports\/99-03.ps","journal-title":"Computational Optimization and Applications"},{"key":"107_CR7","doi-asserted-by":"crossref","first-page":"135","DOI":"10.7551\/mitpress\/1113.003.0012","volume-title":"Advances in Large Margin Classifiers","author":"O.L. Mangasarian","year":"2000","unstructured":"Mangasarian, O.L.: Generalized support vector machines. In: Smola, A., Bartlett, P., Sch\u00f6lkopf, B., Schuurmans, D. (eds.) Advances in Large Margin Classifiers, pp. 135\u2013146. MIT Press, Cambridge (2000), ftp:\/\/ftp.cs.wisc.edu\/math-prog\/tech-reports\/98-14.ps"},{"key":"107_CR8","unstructured":"Murphy, P.M., Aha, D.W.: UCI machine learning repository (1992), www.ics.uci.edu\/~mlearn\/MLRepository.html"},{"key":"107_CR9","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The Nature of Statistical Learning Theory","author":"V.N. Vapnik","year":"1995","unstructured":"Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer, New York (1995)"}],"container-title":["Lecture Notes in Computer Science","Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2004"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-28651-6_107.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,30]],"date-time":"2024-03-30T14:50:12Z","timestamp":1711810212000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-28651-6_107"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004]]},"ISBN":["9783540228813","9783540286516"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-28651-6_107","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2004]]}}}