{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T06:09:12Z","timestamp":1725516552730},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540699385"},{"type":"electronic","value":"9783540699392"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-69939-2_6","type":"book-chapter","created":{"date-parts":[[2008,8,12]],"date-time":"2008-08-12T12:07:43Z","timestamp":1218542863000},"page":"54-65","source":"Crossref","is-referenced-by-count":3,"title":["Sparse Least Squares Support Vector Machines by Forward Selection Based on Linear Discriminant Analysis"],"prefix":"10.1007","author":[{"given":"Shigeo","family":"Abe","sequence":"first","affiliation":[]}],"member":"297","reference":[{"key":"6_CR1","doi-asserted-by":"crossref","DOI":"10.1142\/5089","volume-title":"Least Squares Support Vector Machines","author":"J.A.K. Suykens","year":"2002","unstructured":"Suykens, J.A.K., Van Gestel, T., De Brabanter, J., De Moor, B., Vandewalle, J.: Least Squares Support Vector Machines. World Scientific Publishing, Singapore (2002)"},{"key":"6_CR2","volume-title":"Statistical Learning Theory","author":"V.N. Vapnik","year":"1998","unstructured":"Vapnik, V.N.: Statistical Learning Theory. John Wiley & Sons, Chichester (1998)"},{"key":"6_CR3","doi-asserted-by":"publisher","first-page":"1025","DOI":"10.1016\/S0925-2312(02)00606-9","volume":"48","author":"G.C. Cawley","year":"2002","unstructured":"Cawley, G.C., Talbot, N.L.C.: Improved sparse least-squares support vector machines. Neurocomputing\u00a048, 1025\u20131031 (2002)","journal-title":"Neurocomputing"},{"key":"6_CR4","doi-asserted-by":"crossref","unstructured":"Valyon, J., Horv\u00e1th, G.: A sparse least squares support vector machine classifier. In: Proc. IJCNN 2004, vol.\u00a01, pp. 543\u2013548 (2004)","DOI":"10.1109\/IJCNN.2004.1379967"},{"issue":"3","key":"6_CR5","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1109\/TNN.2006.889500","volume":"18","author":"L. Jiao","year":"2007","unstructured":"Jiao, L., Bo, L., Wang, L.: Fast sparse approximation for least squares support vector machine. IEEE Trans. Neural Networks\u00a018(3), 685\u2013697 (2007)","journal-title":"IEEE Trans. Neural Networks"},{"key":"6_CR6","first-page":"619","volume":"13","author":"A.J. Smola","year":"2001","unstructured":"Smola, A.J., Bartlett, P.L.: Sparse greedy Gaussian process regression. Advances in Neural Information Processing Systems\u00a013, 619\u2013625 (2001)","journal-title":"Advances in Neural Information Processing Systems"},{"issue":"1-3","key":"6_CR7","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1023\/A:1013955821559","volume":"48","author":"P. Vincent","year":"2002","unstructured":"Vincent, P., Bengio, Y.: Kernel matching pursuit. Machine Learning\u00a048(1-3), 165\u2013187 (2002)","journal-title":"Machine Learning"},{"issue":"2","key":"6_CR8","doi-asserted-by":"publisher","first-page":"460","DOI":"10.1109\/TNN.2004.841784","volume":"16","author":"H. Xiong","year":"2005","unstructured":"Xiong, H., Swamy, M.N.S., Ahmad, M.O.: Optimizing the kernel in the empirical feature space. IEEE Trans. Neural Networks\u00a016(2), 460\u2013474 (2005)","journal-title":"IEEE Trans. Neural Networks"},{"issue":"3","key":"6_CR9","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1007\/s10044-007-0062-1","volume":"10","author":"S. Abe","year":"2007","unstructured":"Abe, S.: Sparse least squares support vector training in the reduced empirical feature space. Pattern Analysis and Applications\u00a010(3), 203\u2013214 (2007)","journal-title":"Pattern Analysis and Applications"},{"issue":"3","key":"6_CR10","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.ijar.2004.03.001","volume":"37","author":"K. Kaieda","year":"2004","unstructured":"Kaieda, K., Abe, S.: KPCA-based training of a kernel fuzzy classifier with ellipsoidal regions. International Journal of Approximate Reasoning\u00a037(3), 145\u2013253 (2004)","journal-title":"International Journal of Approximate Reasoning"},{"key":"6_CR11","volume-title":"Support Vector Machines for Pattern Classification","author":"S. Abe","year":"2005","unstructured":"Abe, S.: Support Vector Machines for Pattern Classification. Springer, Heidelberg (2005)"},{"key":"6_CR12","doi-asserted-by":"crossref","unstructured":"Mika, S., R\u00e4tsch, G., Weston, J., Sch\u00f6lkopf, B., M\u00fcller, K.-R.: Fisher discriminant analysis with kernels. In: Proc. NNSP 1999, pp. 41\u201348 (1999)","DOI":"10.1109\/NNSP.1999.788121"},{"key":"6_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1007\/11840930_29","volume-title":"Artificial Neural Networks \u2013 ICANN 2006","author":"M. Ashihara","year":"2006","unstructured":"Ashihara, M., Abe, S.: Feature selection based on kernel discriminant analysis. In: Kollias, S., Stafylopatis, A., Duch, W., Oja, E. (eds.) ICANN 2006. LNCS, vol.\u00a04132, pp. 282\u2013291. Springer, Heidelberg (2006)"},{"issue":"3","key":"6_CR14","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1023\/A:1007618119488","volume":"42","author":"G. R\u00e4tsch","year":"2001","unstructured":"R\u00e4tsch, G., Onoda, T., M\u00fcller, K.-R.: Soft margins for AdaBoost. Machine Learning\u00a042(3), 287\u2013320 (2001)","journal-title":"Machine Learning"},{"key":"6_CR15","unstructured":"http:\/\/ida.first.fraunhofer.de\/projects\/bench\/benchmarks.htm"},{"key":"6_CR16","unstructured":"ftp:\/\/ftp.ics.uci.edu\/pub\/machine-learning-databases\/"},{"key":"6_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1007\/11550907_90","volume-title":"Artificial Neural Networks: Formal Models and Their Applications \u2013 ICANN 2005","author":"S. Abe","year":"2005","unstructured":"Abe, S.: Training of support vector machines with Mahalanobis kernels. In: Duch, W., Kacprzyk, J., Oja, E., Zadro\u017cny, S. (eds.) ICANN 2005. LNCS, vol.\u00a03697, pp. 571\u2013576. Springer, Heidelberg (2005)"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks in Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-69939-2_6.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,14]],"date-time":"2021-09-14T14:12:38Z","timestamp":1631628758000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-69939-2_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540699385","9783540699392"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-69939-2_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[]}}