{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T20:51:00Z","timestamp":1725742260723},"publisher-location":"Berlin, Heidelberg","reference-count":20,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642394812"},{"type":"electronic","value":"9783642394829"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-39482-9_6","type":"book-chapter","created":{"date-parts":[[2013,7,23]],"date-time":"2013-07-23T05:49:15Z","timestamp":1374558555000},"page":"47-55","source":"Crossref","is-referenced-by-count":0,"title":["Binary Coded Output Support Vector Machine"],"prefix":"10.1007","author":[{"given":"Tao","family":"Ye","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuefeng","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"6_CR1","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1145\/130385.130401","volume-title":"5th Annual ACM Workshop on Computational Learning Theory","author":"B.E. Boser","year":"1992","unstructured":"Boser, B.E., Guyon, I.M., Vapnik, V.N.: A training algorithm for optimal margin classifiers. In: Haussler, D. (ed.) 5th Annual ACM Workshop on Computational Learning Theory, pp. 144\u2013152. ACM Press, Pittsburgh (1992)"},{"issue":"2","key":"6_CR2","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":"6_CR3","first-page":"273","volume":"20","author":"C. Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.N.: Support vector networks. Machine Learning\u00a020, 273\u2013297 (1995)","journal-title":"Machine Learning"},{"key":"6_CR4","volume-title":"An Introduction to Support Vector Machines","author":"N. Cristianini","year":"2000","unstructured":"Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines. Cambridge University Press, Cambridge (2000)"},{"key":"6_CR5","volume-title":"A New Method in Data Mining: Support Vector Machine","author":"N.Y. Deng","year":"2004","unstructured":"Deng, N.Y., Tian, Y.J.: A New Method in Data Mining: Support Vector Machine. China Science Press, Beijing (2004) (in Chinese)"},{"key":"6_CR6","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1613\/jair.105","volume":"2","author":"T.G. Dietterich","year":"1995","unstructured":"Dietterich, T.G., Bakiri, G.: Solving multi-class learning problems via error-correcting output codes. Journal of Artificial Intelligent Research\u00a02, 263\u2013286 (1995)","journal-title":"Journal of Artificial Intelligent Research"},{"key":"6_CR7","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., Burges, C.J.C., Smola, A.J. (eds.) Advances in Kernel Methods - Support Vector Learning, pp. 169\u2013184. MIT Press, Cambridge (1999)"},{"key":"6_CR8","volume-title":"UCI Repository of machine learning databases","author":"D.J. Newman","year":"1998","unstructured":"Newman, D.J., Hettich, S., Blake, C.L., et al.: UCI Repository of machine learning databases. University of California, Irvine (1998), http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html"},{"key":"6_CR9","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1109\/NNSP.1997.622408","volume-title":"Neural Networks for Signal Processing VII - The 1997 IEEE Workshop","author":"E. Osuna","year":"1997","unstructured":"Osuna, E., Freund, R., Girosi, F.: An improved training algorithm for support vector machines. In: Principe, J., Gile, L., Morgan, N. (eds.) Neural Networks for Signal Processing VII - The 1997 IEEE Workshop, pp. 276\u2013285. IEEE Press, Piscataway (1997)"},{"key":"6_CR10","unstructured":"Platt, J.C.: Sequential minimal optimization: A fast algorithm for training support vector machines. Technical report, MSR-TR-98-14, Microsoft Research (1998)"},{"key":"6_CR11","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.1162\/089976600300015565","volume":"12","author":"B. Sch\u00f6lkopf","year":"2000","unstructured":"Sch\u00f6lkopf, B., Smola, A.J., Williamson, R., et al.: New support vector algorithms. Neural Computation\u00a012, 1207\u20131245 (2000)","journal-title":"Neural Computation"},{"key":"6_CR12","first-page":"79","volume-title":"9th Australian Conference on Neural Network","author":"A.J. Smola","year":"1998","unstructured":"Smola, A.J., Sch\u00f6lkopf, B., M\u00fcller, K.R.: General cost functions for support vector regression. In: Downs, T., Frean, M., Gallagher, M. (eds.) 9th Australian Conference on Neural Network, pp. 79\u201383. University of Queensland, Brisbane (1998)"},{"key":"6_CR13","unstructured":"Smola, A.J.: Learning with Kernels. PhD dissertation. Technische Universit\u00e4t Berlin, Berlin (1998)"},{"key":"6_CR14","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1023\/B:STCO.0000035301.49549.88","volume":"14","author":"A.J. Smola","year":"2004","unstructured":"Smola, A.J., Sch\u00f6lkopf, B.: A tutorial on support vector regression. Statistics and Computing\u00a014, 199\u2013222 (2004)","journal-title":"Statistics and Computing"},{"issue":"3","key":"6_CR15","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1023\/A:1018628609742","volume":"9","author":"J.A.K. Suykens","year":"1999","unstructured":"Suykens, J.A.K., Vandewalle, J.: Least squares support vector machine classifiers. Neural Processing Letters\u00a09(3), 293\u2013300 (1999)","journal-title":"Neural Processing Letters"},{"key":"6_CR16","volume-title":"Statistical Learning Theory","author":"V.N. Vapnik","year":"1998","unstructured":"Vapnik, V.N.: Statistical Learning Theory. John Wiley & Sons, New York (1998)"},{"issue":"5","key":"6_CR17","doi-asserted-by":"publisher","first-page":"988","DOI":"10.1109\/72.788640","volume":"10","author":"V.N. Vapnik","year":"1999","unstructured":"Vapnik, V.N.: An overview of statistical learning theory. IEEE Transactions on Neural Networks\u00a010(5), 988\u2013999 (1999)","journal-title":"IEEE Transactions on Neural Networks"},{"issue":"2","key":"6_CR18","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1137\/1116025","volume":"16","author":"V.N. Vapnik","year":"1971","unstructured":"Vapnik, V.N., Chervonenkis, A.: On the uniform convergence of relative frequencies of events to their probabilities. Theory of Probability and its Applications\u00a016(2), 264\u2013280 (1971)","journal-title":"Theory of Probability and its Applications"},{"issue":"6","key":"6_CR19","doi-asserted-by":"publisher","first-page":"906","DOI":"10.1016\/j.neucom.2010.10.014","volume":"74","author":"T. Ye","year":"2011","unstructured":"Ye, T., Zhu, X.F.: The bridge relating process neural networks and traditional neural networks. Neurocomputing\u00a074(6), 906\u2013915 (2011)","journal-title":"Neurocomputing"},{"issue":"4","key":"6_CR20","first-page":"412","volume":"18","author":"Y.P. Zhu","year":"2005","unstructured":"Zhu, Y.P., Dai, R.W.: Text classifier based on SVM decision tree. Pattern Recognition & Artificial Intelligence\u00a018(4), 412\u2013416 (2005) (in Chinese)","journal-title":"Pattern Recognition & Artificial Intelligence"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theories and Technology"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-39482-9_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T23:26:23Z","timestamp":1646177183000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-39482-9_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642394812","9783642394829"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-39482-9_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}