{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T06:36:31Z","timestamp":1725690991293},"publisher-location":"Berlin, Heidelberg","reference-count":25,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642315756"},{"type":"electronic","value":"9783642315763"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-31576-3_40","type":"book-chapter","created":{"date-parts":[[2012,7,6]],"date-time":"2012-07-06T11:24:28Z","timestamp":1341573868000},"page":"308-316","source":"Crossref","is-referenced-by-count":0,"title":["Multi-Kernel Based Feature Selection for Regression"],"prefix":"10.1007","author":[{"given":"Chao-Zhe","family":"Lin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xian-Kai","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"40_CR1","first-page":"2211","volume":"12","author":"G. Mehmet","year":"2011","unstructured":"Mehmet, G., Ethem, A.: Multiple Kernel Learning Algorithms. Journal of Machine Learning Research\u00a012, 2211\u20132268 (2011)","journal-title":"Journal of Machine Learning Research"},{"key":"40_CR2","doi-asserted-by":"crossref","unstructured":"Abbasnejad, M., Ramachandram, D., Mandava, R.: A Survey of The State of The Art in Learning The Kernels. Knowledge and Information Systems\u00a029 (2011)","DOI":"10.1007\/s10115-011-0404-6"},{"key":"40_CR3","series-title":"Lecture Notes in Bioinformatics","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1007\/978-3-540-79450-9_34","volume-title":"Bioinformatics Research and Applications","author":"S. Qiu","year":"2008","unstructured":"Qiu, S., Lane, T.: Multiple Kernel Support Vector Regression for siRNA Efficacy Prediction. In: M\u0103ndoiu, I., Wang, S.-L., Zelikovsky, A. (eds.) ISBRA 2008. LNCS (LNBI), vol.\u00a04983, pp. 367\u2013378. Springer, Heidelberg (2008)"},{"key":"40_CR4","doi-asserted-by":"publisher","first-page":"2177","DOI":"10.1016\/j.eswa.2010.08.004","volume":"38","author":"C.Y. Yeh","year":"2011","unstructured":"Yeh, C.Y., Huang, C.W., Lee, S.J.: A Multiple-kernel Support Vector Regression Approach for Stock Market price Forecasting. Expert Syst. Appl.\u00a038, 2177\u20132186 (2011)","journal-title":"Expert Syst. Appl."},{"key":"40_CR5","doi-asserted-by":"crossref","unstructured":"Suard, F., Rakotomamonjy, A., Bensrhair, A.: IEEE: Model Selection in Pedestrian Detection using Multiple Kernel Learning. In: IEEE Intelligent Vehicles Symposium, pp. 824\u2013829 (2007)","DOI":"10.1109\/IVS.2007.4290126"},{"key":"40_CR6","doi-asserted-by":"publisher","first-page":"1147","DOI":"10.1109\/TPAMI.2010.183","volume":"33","author":"Y.Y. Lin","year":"2011","unstructured":"Lin, Y.Y., Liu, T.L., Fuh, C.S.: Multiple Kernel Learning for Dimensionality Reduction. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a033, 1147\u20131160 (2011)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"40_CR7","doi-asserted-by":"crossref","unstructured":"Vedaldi, A., Gulshan, V., Varma, M., Zisserman, A.: Multiple Kernels for Object Detection. In: Proceedings of the International Conference on Computer Vision (2009)","DOI":"10.1109\/ICCV.2009.5459183"},{"key":"40_CR8","first-page":"2491","volume":"9","author":"A. Rakotomamonjy","year":"2008","unstructured":"Rakotomamonjy, A., Bach, F.R., Canu, S., Grandvalet, Y.: SimpleMKL. Journal of Machine Learning Research\u00a09, 2491\u20132521 (2008)","journal-title":"Journal of Machine Learning Research"},{"key":"40_CR9","unstructured":"LIBSVM Dataset: Classification, Regression and Multy-label, \n                    \n                      http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvmtools\/datasets\/"},{"key":"40_CR10","unstructured":"An implementation of Support Vector Machines (SVMs) in C, \n                    \n                      http:\/\/svmlight.joachims.org"},{"key":"40_CR11","first-page":"363","volume":"6","author":"I.W. Tsang","year":"2005","unstructured":"Tsang, I.W., Kwok, J.T., Cheung, P.M.: Core Vector Machines: Fast SVM Training on Very Large Data Sets. Journal of Machine Learning Research\u00a06, 363\u2013392 (2005)","journal-title":"Journal of Machine Learning Research"},{"key":"40_CR12","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1109\/TCBB.2008.139","volume":"6","author":"S. Qiu","year":"2009","unstructured":"Qiu, S.: A Framework for Multiple Kernel Support Vector Regression and Its Applications to siRNA Efficacy Prediction. IEEE\/ACM Transactions on Computational Biology and Bioinformatics\u00a06, 190\u2013199 (2009)","journal-title":"IEEE\/ACM Transactions on Computational Biology and Bioinformatics"},{"key":"40_CR13","doi-asserted-by":"crossref","unstructured":"Gonen, M.: Ethem: Localized Multiple Kernel Regression. In: Proceedings of the 20th IAPR International Conference on Pattern Recognition, Istanbul, Turkey (2010)","DOI":"10.1109\/ICPR.2010.352"},{"key":"40_CR14","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1109\/TNN.2010.2103571","volume":"22","author":"Y. Haiqin","year":"2011","unstructured":"Haiqin, Y., Zenglin, X., Jieping, Y., King, I., Lyu, M.R.: Efficient Sparse Generalized Multiple Kernel Learning. IEEE Transactions on Neural Networks\u00a022, 433\u2013446 (2011)","journal-title":"IEEE Transactions on Neural Networks"},{"key":"40_CR15","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.1162\/089976600300015565","volume":"12","author":"B. Scholkopf","year":"2000","unstructured":"Scholkopf, B., Smola, A.J., Williamson, R.C., Bartlett, P.L.: New support vector algorithms. Neural Computation\u00a012, 1207\u20131245 (2000)","journal-title":"Neural Computation"},{"key":"40_CR16","volume-title":"Statistical Learning Theory","author":"V. Vapnik","year":"1998","unstructured":"Vapnik, V.: Statistical Learning Theory. Wiley, NewYork (1998)"},{"key":"40_CR17","first-page":"1531","volume":"7","author":"S. Sonnenburg","year":"2006","unstructured":"Sonnenburg, S., Ratsch, G., Schafer, C., Scholkopf, B.: Large Scale Multiple Kernel Learning. Journal of Machine Learning Research\u00a07, 1531\u20131565 (2006)","journal-title":"Journal of Machine Learning Research"},{"key":"40_CR18","first-page":"27","volume":"5","author":"G.R.G. Lanckriet","year":"2004","unstructured":"Lanckriet, G.R.G., Cristianini, N., Bartlett, P., El Ghaoui, L., Jordan, M.I.: Learning the Kernel Matrix with Semidefinite Programming. Journal of Machine Learning Research\u00a05, 27\u201372 (2004)","journal-title":"Journal of Machine Learning Research"},{"key":"40_CR19","unstructured":"Kloft, M., Brefeld, U., Laskov, P.: Non-sparse Multiple Kernel Learning. In: NIPS Workshop on Kernel Learning: Automatic Selection of Optimal Kernels (2008)"},{"key":"40_CR20","first-page":"953","volume":"12","author":"M. Kloft","year":"2011","unstructured":"Kloft, M., Brefeld, U., Sonnenburg, S., Zien, A.: l(p)-Norm Multiple Kernel Learning. Journal of Machine Learning Research\u00a012, 953\u2013997 (2011)","journal-title":"Journal of Machine Learning Research"},{"key":"40_CR21","unstructured":"Vapnik, V.N.: Statistical Learning Theory. Wiley-Interscience (1998)"},{"key":"40_CR22","unstructured":"Grandvalet, Y., Canu, S.: Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage. Advances in Neural Information Processing Systems, pp. 445\u2013451 (1998)"},{"key":"40_CR23","unstructured":"MOSEK ApS. MOSEK Optimization Software (2010), \n                    \n                      http:\/\/www.mosek.com"},{"key":"40_CR24","unstructured":"Xu, Z., Jin, R., King, I., Lyu, M.: An Extended Level Method for Efficient Multiple Kernel Learning (2009)"},{"key":"40_CR25","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/S0925-2312(02)00577-5","volume":"51","author":"L.J. Cao","year":"2003","unstructured":"Cao, L.J.: Support Vector Machines Experts for Time Series Forecasting. Neurocomputing\u00a051, 321\u2013339 (2003)","journal-title":"Neurocomputing"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theories and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-31576-3_40.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T08:13:01Z","timestamp":1620115981000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-31576-3_40"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642315756","9783642315763"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-31576-3_40","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}