{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T22:12:56Z","timestamp":1773439976857,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540282266","type":"print"},{"value":"9783540319023","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11538059_75","type":"book-chapter","created":{"date-parts":[[2005,9,27]],"date-time":"2005-09-27T14:18:36Z","timestamp":1127830716000},"page":"717-726","source":"Crossref","is-referenced-by-count":10,"title":["Methods of Decreasing the Number of Support Vectors via k-Mean Clustering"],"prefix":"10.1007","author":[{"given":"Xiao-Lei","family":"Xia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael R.","family":"Lyu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tat-Ming","family":"Lok","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guang-Bin","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"75_CR1","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. Springer, Heidelberg (1995)"},{"issue":"3","key":"75_CR2","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1109\/TNN.2005.844912","volume":"16","author":"D.S. Huang","year":"2005","unstructured":"Huang, D.S., Ip Horace, H.S., Law Ken, C.K., Zheru, C.: Zeroing polynomials using modified constrained neural network approach. IEEE Trans. on Neural Networks\u00a016(3), 721\u2013732 (2005)","journal-title":"IEEE Trans. on Neural Networks"},{"issue":"8","key":"75_CR3","doi-asserted-by":"publisher","first-page":"1721","DOI":"10.1162\/089976604774201668","volume":"16","author":"D.S. Huang","year":"2004","unstructured":"Huang, D.S., Ip Horace, H.S., Zheru, C.: A neural root finder of polynomials based on root moments. Neural Computation\u00a016(8), 1721\u20131762 (2004)","journal-title":"Neural Computation"},{"issue":"2","key":"75_CR4","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1109\/TNN.2004.824424","volume":"15","author":"D.S. Huang","year":"2004","unstructured":"Huang, D.S.: A constructive approach for finding arbitrary roots of polynomials by neural networks. IEEE Transactions on Neural Networks\u00a015(2), 477\u2013491 (2004)","journal-title":"IEEE Transactions on Neural Networks"},{"key":"75_CR5","volume-title":"Systematic Theory of Neural Networks for Pattern Recognition","author":"D.S. Huang","year":"1996","unstructured":"Huang, D.S.: Systematic Theory of Neural Networks for Pattern Recognition. Publishing House of Electronic Industry of China, Beijing (1996)"},{"key":"75_CR6","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511801389","volume-title":"An Introduction to Support Vector Machines and Other Kernel-based Learning Methods","author":"N. Cristianini","year":"2000","unstructured":"Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press, Cambridge (2000)"},{"issue":"2","key":"75_CR7","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1109\/LSP.2004.836938","volume":"12","author":"B.-Y. Sun","year":"2005","unstructured":"Sun, B.-Y., Huang, D.S., Fang, H.-T.: Lidar signal de-noising using least squares support vector machine. IEEE Signal Processing Letters\u00a012(2), 101\u2013104 (2005)","journal-title":"IEEE Signal Processing Letters"},{"key":"75_CR8","doi-asserted-by":"crossref","unstructured":"Sun, B.-Y., Huang, D.S.: Least squares support vector machine ensemble. In: The 2004 International Joint Conference on Neural Networks (IJCNN 2004), Budapest Hungary, pp. 2013\u20132016 (2004)","DOI":"10.1109\/IJCNN.2004.1380924"},{"key":"75_CR9","first-page":"169","volume-title":"Advances in kernel methods: support vector learning","author":"T. Joachims","year":"1999","unstructured":"Joachims, T.: Making large-scale support vector machine learning practical. In: Advances in kernel methods: support vector learning, pp. 169\u2013184. MIT Press, Cambridge (1999)"},{"key":"75_CR10","first-page":"185","volume-title":"Advances in kernel methods: support vector learning","author":"J. Platt","year":"1999","unstructured":"Platt, J.: Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines. In: Advances in kernel methods: support vector learning, pp. 185\u2013208. MIT Press, Cambridge (1999)"},{"key":"75_CR11","volume-title":"Algorithms for Clustering Data","author":"A.K. Jain","year":"1988","unstructured":"Jain, A.K., Dubes, R.C.: Algorithms for Clustering Data. Prentice-Hall, Englewood Cliffs (1988)"},{"key":"75_CR12","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/4175.001.0001","volume-title":"Learning with Kernels","author":"B. Scholkopf","year":"2001","unstructured":"Scholkopf, B., Smola, A.J.: Learning with Kernels. MIT Press, MA (2001)"},{"key":"75_CR13","doi-asserted-by":"crossref","first-page":"1000","DOI":"10.1109\/T-C.1975.224110","volume":"24","author":"J.H. Friedman","year":"1975","unstructured":"Friedman, J.H., Baskett, F., Shustek, L.J.: An algorithm for finding nearest neighbours. IEEE Transactions on Computers C-24, 1000\u20131006 (1975)","journal-title":"IEEE Transactions on Computers C-"},{"key":"75_CR14","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1111\/j.2517-6161.1994.tb01990.x","volume":"56","author":"B.D. Riply","year":"1994","unstructured":"Riply, B.D.: Neural networks and related methods for classifications. J. Royal Statistical Soc. Series B\u00a056, 409\u2013456 (1994)","journal-title":"J. Royal Statistical Soc. Series B"},{"key":"75_CR15","unstructured":"ftp:\/\/ftp.cs.wisc.edu\/math-prog\/cpo-dataset\/machine-learn\/checker"}],"container-title":["Lecture Notes in Computer Science","Advances in Intelligent Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11538059_75.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,4]],"date-time":"2025-01-04T15:48:44Z","timestamp":1736005724000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11538059_75"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540282266","9783540319023"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/11538059_75","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005]]}}}