{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T13:58:23Z","timestamp":1725890303168},"publisher-location":"Berlin, Heidelberg","reference-count":18,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642344800"},{"type":"electronic","value":"9783642344817"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-34481-7_75","type":"book-chapter","created":{"date-parts":[[2012,11,5]],"date-time":"2012-11-05T08:40:34Z","timestamp":1352104834000},"page":"616-623","source":"Crossref","is-referenced-by-count":3,"title":["Multi-threaded Support Vector Machines for Pattern Recognition"],"prefix":"10.1007","author":[{"given":"Jo\u00e3o","family":"Gon\u00e7alves","sequence":"first","affiliation":[]},{"given":"Noel","family":"Lopes","sequence":"additional","affiliation":[]},{"given":"Bernardete","family":"Ribeiro","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"75_CR1","first-page":"1817","volume":"6","author":"R. Ando","year":"2005","unstructured":"Ando, R., Zhang, T.: A framework for learning predictive structures from multiple tasks and unlabeled data. J. of Machine Learning Research\u00a06, 1817\u20131853 (2005)","journal-title":"J. of Machine Learning Research"},{"key":"75_CR2","unstructured":"Asuncion, A., Newman, D.J.: UCI machine learning repository (2010), http:\/\/archive.ics.uci.edu\/ml\/index.html"},{"key":"75_CR3","unstructured":"Ayat, N., Cheriet, M., Suen, C.: KMOD - a two-parameter SVM kernel for pattern recognition. In: Proc. of ICPR, pp. 30331\u201330334 (2002)"},{"issue":"4","key":"75_CR4","doi-asserted-by":"publisher","first-page":"1039","DOI":"10.1109\/TNN.2006.875989","volume":"17","author":"L. Cao","year":"2006","unstructured":"Cao, L., Keerthi, S., Ong, C.J., Zhang, J., Periyathamby, U., Fu, X.J., Lee, H.: Parallel sequential minimal optimization for the training of support vector machines. IEEE Transactions on Neural Networks\u00a017(4), 1039\u20131049 (2006)","journal-title":"IEEE Transactions on Neural Networks"},{"key":"75_CR5","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1145\/1390156.1390170","volume-title":"Proc. of the 25th Int. Conf. on Machine Learning, ICML 2008","author":"B. Catanzaro","year":"2008","unstructured":"Catanzaro, B., Sundaram, N., Keutzer, K.: Fast support vector machine training and classification on graphics processors. In: Proc. of the 25th Int. Conf. on Machine Learning, ICML 2008, pp. 104\u2013111. ACM, NY (2008)"},{"key":"75_CR6","doi-asserted-by":"crossref","unstructured":"Chang, C.C., Lin, C.J.: LIBSVM: A Library for Support Vector Machines. Dep. of Computer Science National Taiwan University, Taipei, Taiwan (2011)","DOI":"10.1145\/1961189.1961199"},{"issue":"1","key":"75_CR7","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1109\/TNNLS.2011.2178446","volume":"23","author":"B. Chen","year":"2012","unstructured":"Chen, B., Zhao, S., Zhu, P., Pr\u00edncipe, J.C.: Quantized kernel least mean square algorithm. IEEE Trans. Neural Netw. Learning Syst.\u00a023(1), 22\u201332 (2012)","journal-title":"IEEE Trans. Neural Netw. Learning Syst."},{"key":"75_CR8","doi-asserted-by":"crossref","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. In: Machine Learning, pp. 273\u2013297 (1995)","DOI":"10.1007\/BF00994018"},{"issue":"6","key":"75_CR9","doi-asserted-by":"publisher","first-page":"1484","DOI":"10.1016\/j.csda.2010.01.024","volume":"54","author":"K. Brabanter De","year":"2010","unstructured":"De Brabanter, K., De Brabanter, J., Suykens, J., De Moor, B.: Optimized fixed-size kernel models for large data sets. Comput. Stat. Data Anal.\u00a054(6), 1484\u20131504 (2010)","journal-title":"Comput. Stat. Data Anal."},{"key":"75_CR10","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1016\/j.neucom.2004.04.013","volume":"63","author":"L. Hoegaerts","year":"2005","unstructured":"Hoegaerts, L., Suykens, J.A.K., Vandewalle, J., De Moor, B.: Subset based least squares subspace regression in RKHS. Neurocomput.\u00a063, 293\u2013323 (2005)","journal-title":"Neurocomput."},{"issue":"3","key":"75_CR11","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1162\/089976601300014493","volume":"13","author":"S. Keerthi","year":"2001","unstructured":"Keerthi, S., Shevade, S., Bhattacharyya, C., Murthy, K.: Improvements to Platt\u2019s SMO algorithm for SVM classifier design. Neural Comput.\u00a013(3), 637\u2013649 (2001)","journal-title":"Neural Comput."},{"key":"75_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1007\/978-3-642-28942-2_39","volume-title":"Hybrid Artificial Intelligent Systems","author":"N. Lopes","year":"2012","unstructured":"Lopes, N., Correia, D., Pereira, C., Ribeiro, B., Dourado, A.: An Incremental Hypersphere Learning Framework for Protein Membership Prediction. In: Corchado, E., Sn\u00e1\u0161el, V., Abraham, A., Wo\u017aniak, M., Gra\u00f1a, M., Cho, S.-B. (eds.) HAIS 2012, Part III. LNCS, vol.\u00a07208, pp. 429\u2013439. Springer, Heidelberg (2012)"},{"key":"75_CR13","unstructured":"Platt, J.: Sequential minimal optimization: A fast algorithm for training support vector machines, vol.\u00a0208, pp. 1\u201321. MIT Press (1998)"},{"key":"75_CR14","doi-asserted-by":"crossref","unstructured":"Qiao, M., Sung, A.H., Liu, Q.: Feature mining and intelligent computing for MP3 steganalysis. In: Int. Joint Conf. on Bioinformatics, Systems Biology and Intelligent Computing, pp. 627\u2013630. IEEE Computer Society (2009)","DOI":"10.1109\/IJCBS.2009.119"},{"key":"75_CR15","doi-asserted-by":"crossref","unstructured":"Vapnik, V.: The nature of statistical learning theory. Springer (1995)","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"75_CR16","doi-asserted-by":"publisher","first-page":"2371","DOI":"10.1016\/j.eswa.2009.07.056","volume":"37","author":"W.W. Wu","year":"2010","unstructured":"Wu, W.W.: Beyond business failure prediction. Expert Systems with Applications\u00a037, 2371\u20132376 (2010)","journal-title":"Expert Systems with Applications"},{"key":"75_CR17","doi-asserted-by":"crossref","first-page":"14225","DOI":"10.1016\/j.eswa.2011.04.235","volume":"38","author":"R. Zhang","year":"2011","unstructured":"Zhang, R., Wang, W.: Facilitating the applications of support vector machine by using a new kernel. Expert Systems with Applications\u00a038, 14225\u201314230 (2011)","journal-title":"Expert Systems with Applications"},{"issue":"9","key":"75_CR18","doi-asserted-by":"publisher","first-page":"799","DOI":"10.1093\/bioinformatics\/16.9.799","volume":"16","author":"A. Zien","year":"2000","unstructured":"Zien, A., R\u00e4tsch, G., Mika, S., Sch\u00f6lkopf, B., Lemmen, C., Smola, A., Lengauer, T., Mueller, K.R.: Engineering support vector machine kernel that recognize translation initiation sites. Bioinformatics\u00a016(9), 799\u2013807 (2000)","journal-title":"Bioinformatics"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-34481-7_75.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,26]],"date-time":"2023-06-26T14:57:50Z","timestamp":1687791470000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-34481-7_75"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642344800","9783642344817"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-34481-7_75","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}