{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T22:13:43Z","timestamp":1725747223255},"publisher-location":"Berlin, Heidelberg","reference-count":16,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642407277"},{"type":"electronic","value":"9783642407284"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-40728-4_55","type":"book-chapter","created":{"date-parts":[[2013,9,4]],"date-time":"2013-09-04T11:56:43Z","timestamp":1378295803000},"page":"434-441","source":"Crossref","is-referenced-by-count":1,"title":["A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers"],"prefix":"10.1007","author":[{"given":"Davide","family":"Anguita","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alessandro","family":"Ghio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luca","family":"Oneto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jorge Luis","family":"Reyes-Ortiz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sandro","family":"Ridella","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"9","key":"55_CR1","doi-asserted-by":"publisher","first-page":"1390","DOI":"10.1109\/TNNLS.2012.2202401","volume":"23","author":"D. Anguita","year":"2012","unstructured":"Anguita, D., Ghio, A., Oneto, L., Ridella, S.: In-sample and out-of-sample model selection and error estimation for support vector machines. IEEE Transactions on Neural Networks and Learning Systems\u00a023(9), 1390\u20131406 (2012)","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"55_CR2","unstructured":"Anguita, D., Ghio, A., Oneto, L., Parra, X., Reyes-Ortiz, J.L.: A public domain dataset for human activity recognition using smartphones. In: European Symposium on Artificial Neural Networks (2013)"},{"key":"55_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1007\/978-3-642-35395-6_30","volume-title":"Ambient Assisted Living and Home Care","author":"D. Anguita","year":"2012","unstructured":"Anguita, D., Ghio, A., Oneto, L., Parra, X., Reyes-Ortiz, J.L.: Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine. In: Bravo, J., Herv\u00e1s, R., Rodr\u00edguez, M. (eds.) IWAAL 2012. LNCS, vol.\u00a07657, pp. 216\u2013223. Springer, Heidelberg (2012)"},{"key":"55_CR4","doi-asserted-by":"crossref","unstructured":"Boyd, S., Vandenberghe, L.: Convex optimization. Cambridge University (2004)","DOI":"10.1017\/CBO9780511804441"},{"key":"55_CR5","first-page":"1871","volume":"9","author":"R. Fan","year":"2008","unstructured":"Fan, R., Chang, K., Hsieh, C., Wang, X., Lin, C.: Liblinear: A library for large linear classification. The Journal of Machine Learning Research\u00a09, 1871\u20131874 (2008)","journal-title":"The Journal of Machine Learning Research"},{"key":"55_CR6","volume-title":"Numerical recipes in c","author":"B.P. Flannery","year":"1992","unstructured":"Flannery, B.P., Press, W.H., Teukolsky, S.A., Vetterling, W.: Numerical recipes in c. Press Syndicate of the University of Cambridge, New York (1992)"},{"key":"55_CR7","unstructured":"Frank, A., Asuncion, A.: UCI machine learning repository (2010)"},{"issue":"1","key":"55_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v033.i01","volume":"33","author":"J. Friedman","year":"2010","unstructured":"Friedman, J., Hastie, T., Tibshirani, R.: Regularization paths for generalized linear models via coordinate descent. Journal of Statistical Software\u00a033(1), 1 (2010)","journal-title":"Journal of Statistical Software"},{"issue":"3","key":"55_CR9","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1162\/089976601300014493","volume":"13","author":"S.S. Keerthi","year":"2001","unstructured":"Keerthi, S.S., Shevade, S.K., Bhattacharyya, C., Murthy, K.R.K.: Improvements to platt\u2019s smo algorithm for svm classifier design. Neural Computation\u00a013(3), 637\u2013649 (2001)","journal-title":"Neural Computation"},{"key":"55_CR10","unstructured":"Platt, J.: Sequential minimal optimization: A fast algorithm for training support vector machines. Tech. Rep. msr-tr-98-14, Microsoft Research (1998)"},{"key":"55_CR11","unstructured":"Sch\u00f6lkopf, B., Smola, A.J.: Learning with kernels: Support vector machines, regularization, optimization, and beyond. MIT press (2001)"},{"issue":"6","key":"55_CR12","doi-asserted-by":"publisher","first-page":"961","DOI":"10.1089\/106652703322756177","volume":"10","author":"M.R. Segal","year":"2003","unstructured":"Segal, M.R., Dahlquist, K.D., Conklin, B.R.: Regression approaches for microarray data analysis. Journal of Computational Biology\u00a010(6), 961\u2013980 (2003)","journal-title":"Journal of Computational Biology"},{"issue":"17","key":"55_CR13","doi-asserted-by":"publisher","first-page":"3609","DOI":"10.1016\/j.neucom.2011.06.026","volume":"74","author":"J. Shawe-Taylor","year":"2011","unstructured":"Shawe-Taylor, J., Sun, S.: A review of optimization methodologies in support vector machines. Neurocomputing\u00a074(17), 3609\u20133618 (2011)","journal-title":"Neurocomputing"},{"key":"55_CR14","doi-asserted-by":"crossref","unstructured":"Tibshirani, R.: Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society. Series B (Methodological), 267\u2013288 (1996)","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"55_CR15","unstructured":"Vapnik, V.: Statistical learning theory. Wiley-Interscience (1998)"},{"issue":"2","key":"55_CR16","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1111\/j.1467-9868.2005.00503.x","volume":"67","author":"H. Zou","year":"2005","unstructured":"Zou, H., Hastie, T.: Regularization and variable selection via the elastic net. Journal of the Royal Statistical Society: Series B (Statistical Methodology)\u00a067(2), 301\u2013320 (2005)","journal-title":"Journal of the Royal Statistical Society: Series B (Statistical Methodology)"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2013"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-40728-4_55","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,17]],"date-time":"2019-05-17T01:58:07Z","timestamp":1558058287000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-40728-4_55"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642407277","9783642407284"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-40728-4_55","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}