{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,5]],"date-time":"2025-02-05T05:26:41Z","timestamp":1738733201943,"version":"3.37.0"},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2008,11,28]],"date-time":"2008-11-28T00:00:00Z","timestamp":1227830400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2009,10]]},"DOI":"10.1007\/s00521-008-0217-z","type":"journal-article","created":{"date-parts":[[2008,11,27]],"date-time":"2008-11-27T06:56:56Z","timestamp":1227769016000},"page":"731-748","source":"Crossref","is-referenced-by-count":3,"title":["Leave-one-out bounds for support vector ordinal regression machine"],"prefix":"10.1007","volume":"18","author":[{"given":"Zhixia","family":"Yang","sequence":"first","affiliation":[]},{"given":"Yingjie","family":"Tian","sequence":"additional","affiliation":[]},{"given":"Naiyang","family":"Deng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2008,11,28]]},"reference":[{"key":"217_CR1","doi-asserted-by":"crossref","unstructured":"Boser B, Guyon I, Vapnik V (1992) A training algorithm for optimal margin classifiers. In: Proceeding of the 5th annual ACM workshop on computational learing theory, pp 144\u2013152","DOI":"10.1145\/130385.130401"},{"key":"217_CR2","volume-title":"Statistical Learning Theory","author":"V Vapnik","year":"1998","unstructured":"Vapnik V (1998) Statistical learning theory. Wiley, New York"},{"key":"217_CR3","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-0711-5","volume-title":"A probabilistic theory of pattern recognition","author":"L Devroye","year":"1996","unstructured":"Devroye L, Gy\u00f6rfi L, Lugosi G (1996) A probabilistic theory of pattern recognition. Springer, New York"},{"key":"217_CR4","unstructured":"Jaakkola TS, Haussler D (1999) Exploiting generative models in discriminative classifiers. In: Advances in neural information processing systems, vol 11. MIT Press, Cambridge, pp 487\u2013493"},{"issue":"9","key":"217_CR5","doi-asserted-by":"crossref","first-page":"2013","DOI":"10.1162\/089976600300015042","volume":"12","author":"V Vapnik","year":"2000","unstructured":"Vapnik V, Chapelle O (2000) Bounds on error expectation for support vector machines. Neural Comput 12(9):2013\u20132036","journal-title":"Neural Comput"},{"key":"217_CR6","unstructured":"Gretton A, Herbrich R, Chapelle O (2003) Estimating the leave-one-out error for classification learning with SVMs. http:\/\/www.kyb.tuebingen.mpg.de\/publications\/pss\/ps1854.ps , May 15"},{"key":"217_CR7","unstructured":"Joachims T (2000) Estimating the generalization performance of an SVM efficientily. In: Proceedings of the 17th international conference on machine learning. Morgan Kaufmann, San Franscisco, pp 431\u2013438"},{"key":"217_CR8","unstructured":"Tian Y-J (2005) Support vector regession machine and its application. Ph.D. thesis, China Algricultural University"},{"issue":"5","key":"217_CR9","doi-asserted-by":"crossref","first-page":"1188","DOI":"10.1162\/0899766053491869","volume":"17","author":"M-W Chang","year":"2005","unstructured":"Chang M-W, Lin C-J (2005) Leave-one-out bounds for support vector regression model selection. Neural Comput 17(5):1188\u20131222","journal-title":"Neural Comput"},{"key":"217_CR10","unstructured":"Shashua A, Levin A (2002) Taxonomy of large margin principle algorithms for ordinal regression problems. In: Advances in neural information processing systems, vol 15. MIT Press, Cambridge, pp 57\u201364"},{"key":"217_CR11","unstructured":"Herbrich R, Graepel R, Bollmann-Sdorra P, Obermayer K (1998) Learning a preference relation for information retrieval. In: Proceedings of the AAAI workshop text categorization and machine learning, Madison, USA"},{"key":"217_CR12","unstructured":"Tangian A, Gruber J (1995) Constructing quadratic and polynomial objective functions. In: Proceedings of the 3rd international conference on econometric decision models, Schwerte, Germany. Springer, Heidelberg, pp 166\u2013194"},{"key":"217_CR13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1984.tb01270.x","volume":"46","author":"J Anderson","year":"1984","unstructured":"Anderson J (1984) Regression and ordered categorical variables (with discussion). J R Stat Soc C Ser B 46:1\u201330","journal-title":"J R Stat Soc C Ser B"},{"key":"217_CR14","doi-asserted-by":"crossref","unstructured":"Herbrich R, Graepel T, Obermayer K (1999) Support vector learning for ordinal regression. In: Proceedings of the ninth international conference on arrifical neural networks, pp 97\u2013102","DOI":"10.1049\/cp:19991091"},{"key":"217_CR15","doi-asserted-by":"crossref","unstructured":"Chu W, Keerthi SS (2005) New approaches to support vector ordinal regression. In: Proceedings of international conference on machine learning (ICML-05), pp 145\u2013152","DOI":"10.1145\/1102351.1102370"},{"key":"217_CR16","unstructured":"Arie BD, Yoav G (2005) Ordinal datasets. http:\/\/www.cs.waikato.ac.nz\/ml\/weka\/"},{"key":"217_CR17","unstructured":"Weston J (1999) Leave-one-out support vector machines. In: Proceedings of the sixteenth international joint conference on artificial intelligence, pp 727\u2013733"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-008-0217-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-008-0217-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-008-0217-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,4]],"date-time":"2025-02-04T18:21:11Z","timestamp":1738693271000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-008-0217-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,11,28]]},"references-count":17,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2009,10]]}},"alternative-id":["217"],"URL":"https:\/\/doi.org\/10.1007\/s00521-008-0217-z","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2008,11,28]]}}}