{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T19:58:43Z","timestamp":1760385523607,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811030017"},{"type":"electronic","value":"9789811030024"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-981-10-3002-4_58","type":"book-chapter","created":{"date-parts":[[2016,10,21]],"date-time":"2016-10-21T11:48:00Z","timestamp":1477050480000},"page":"720-730","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Kernel Learning with Hilbert-Schmidt Independence Criterion"],"prefix":"10.1007","author":[{"given":"Tinghua","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xianwen","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,10,22]]},"reference":[{"key":"58_CR1","unstructured":"Fukumizu, K., Gretton, A., Sun, X., Sch\u00f6lkopf, B.: Kernel measures of conditional dependence. In: Advances in Neural Information Processing Systems 20, pp. 489\u2013496 (2007)"},{"key":"58_CR2","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809682","volume-title":"Kernel methods for pattern analysis","author":"J Shawe-Taylor","year":"2004","unstructured":"Shawe-Taylor, J., Cristianini, N.: Kernel methods for pattern analysis. Cambridge University Press, New York (2004)"},{"key":"58_CR3","unstructured":"Chwialkowski, K., Gretton, A.: A kernel independence test of random process. In: Proceedings of the 31th International Conference on Machine Learning, Beijing, China, pp. 1422\u20131430 (2014)"},{"key":"58_CR4","doi-asserted-by":"crossref","unstructured":"Gretton, A., Bousquet, O., Smola, A., Sch\u00f6lkopf, B.: Measuring statistical dependence with Hilbert-Schmidt norms. In: Proceedings of the 16th International Conference on Algorithmic Learning Theory, Singapore, pp. 63\u201377 (2005)","DOI":"10.1007\/11564089_7"},{"key":"58_CR5","doi-asserted-by":"crossref","unstructured":"Song, L., Smola, A., Gretton, A., Borgwardt, K.: A dependence maximization view of clustering. In: Proceedings of the 24th International Conference on Machine Learning, Corvallis, USA, pp. 823\u2013830 (2007)","DOI":"10.1145\/1273496.1273599"},{"key":"58_CR6","first-page":"1393","volume":"13","author":"L Song","year":"2012","unstructured":"Song, L., Smola, A., Gretton, A., Bedo, J., Borgwardt, K.: Feature selection via dependence maximization. J. Mach. Learn. Res. 13, 1393\u20131434 (2012)","journal-title":"J. Mach. Learn. Res."},{"issue":"2","key":"58_CR7","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1007\/s10462-012-9369-4","volume":"43","author":"T Wang","year":"2015","unstructured":"Wang, T., Zhao, D., Tian, S.: An overview of kernel alignment and its applications. Artif. Intell. Rev. 43(2), 179\u2013192 (2015)","journal-title":"Artif. Intell. Rev."},{"issue":"5","key":"58_CR8","doi-asserted-by":"publisher","first-page":"1225","DOI":"10.1109\/TNN.2002.1031955","volume":"13","author":"SS Keerthi","year":"2002","unstructured":"Keerthi, S.S.: Efficient tuning of SVM hyperparameters using radius\/margin bound and iterative algorithms. IEEE Trans. Neural Netw. 13(5), 1225\u20131229 (2002)","journal-title":"IEEE Trans. Neural Netw."},{"key":"58_CR9","first-page":"2211","volume":"12","author":"M G\u00f6nen","year":"2011","unstructured":"G\u00f6nen, M., Alpay\u0131n, E.: Multiple kernel learning algorithms. J. Mach. Learn. Res. 12, 2211\u20132226 (2011)","journal-title":"J. Mach. Learn. Res."},{"issue":"13\u201315","key":"58_CR10","doi-asserted-by":"publisher","first-page":"3077","DOI":"10.1016\/j.neucom.2009.03.014","volume":"72","author":"T Wang","year":"2009","unstructured":"Wang, T., Tian, S., Huang, H., Deng, D.: Learning by local kernel polarization. Neurocomputing 72(13\u201315), 3077\u20133084 (2009)","journal-title":"Neurocomputing"},{"key":"58_CR11","doi-asserted-by":"crossref","unstructured":"Cristianini, N., Shawe-Taylor, J., Elisseeff, A., Kandola, J.: On kernel-target alignment. In: Advances in Neural Information Processing Systems 14, pp 367\u2013373 (2001)","DOI":"10.7551\/mitpress\/1120.003.0052"},{"key":"58_CR12","first-page":"795","volume":"13","author":"C Cortes","year":"2012","unstructured":"Cortes, C., Mohri, M., Rostamizadeh, A.: Algorithms for learning kernels based on centered alignment. J. Mach. Learn. Res. 13, 795\u2013828 (2012)","journal-title":"J. Mach. Learn. Res."},{"key":"58_CR13","first-page":"67","volume":"2","author":"I Steinwart","year":"2001","unstructured":"Steinwart, I.: On the influence of the kernels on the consistency of support vector machines. J. Mach. Learn. Res. 2, 67\u201393 (2001)","journal-title":"J. Mach. Learn. Res."},{"issue":"10","key":"58_CR14","doi-asserted-by":"publisher","first-page":"2564","DOI":"10.1587\/transinf.E95.D.2564","volume":"E95-D","author":"M Sugiyama","year":"2012","unstructured":"Sugiyama, M.: On kernel parameter selection in Hilbert-Schmidt independence criterion. IEICE Trans. Inf. Syst. E95-D(10), 2564\u20132567 (2012)","journal-title":"IEICE Trans. Inf. Syst."},{"issue":"11","key":"58_CR15","doi-asserted-by":"publisher","first-page":"3656","DOI":"10.1016\/j.patcog.2014.05.005","volume":"47","author":"Y Lu","year":"2014","unstructured":"Lu, Y., Wang, L., Lu, J., Yang, J., Shen, C.: Multiple kernel clustering based on centered kernel alignment. Pattern Recogn. 47(11), 3656\u20133664 (2014)","journal-title":"Pattern Recogn."},{"issue":"1\u20133","key":"58_CR16","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1007\/s10994-005-1505-9","volume":"61","author":"J Neumann","year":"2005","unstructured":"Neumann, J., Schn\u00f6rr, C., Steidl, G.: Combined SVM-based feature selection and classification. Mach. Learn. 61(1\u20133), 129\u2013150 (2005)","journal-title":"Mach. Learn."},{"key":"58_CR17","unstructured":"Lichman, M.: UCI machine learning repository. Irvine, CA: University of California, School of Information and Computer Science (2013). http:\/\/archive.ics.uci.edu\/ml\/"},{"key":"58_CR18","unstructured":"Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2(3), Article No. 27 (2011). http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm"},{"key":"58_CR19","first-page":"1","volume":"7","author":"J Dem\u0161ar","year":"2006","unstructured":"Dem\u0161ar, J.: Statistical comparisons of classifiers over multiple data sets. J. Mach. Learn. Res. 7, 1\u201330 (2006)","journal-title":"J. Mach. Learn. Res."},{"key":"58_CR20","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.knosys.2015.01.010","volume":"80","author":"J Lu","year":"2015","unstructured":"Lu, J., Behbood, V., Hao, P., Zuo, H., Xue, S., Zhang, G.: Transfer learning using computational intelligence: a survey. Knowl.-Based Syst. 80, 14\u201323 (2015)","journal-title":"Knowl.-Based Syst."}],"container-title":["Communications in Computer and Information Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-3002-4_58","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,20]],"date-time":"2024-06-20T03:18:12Z","timestamp":1718853492000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-3002-4_58"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9789811030017","9789811030024"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-3002-4_58","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"22 October 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CCPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chengdu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 November 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 November 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccpr2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.uestcrobot.net\/ccpr2016\/english_index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}