乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T06:35:11Z","timestamp":1726209311512},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61976235","61602535"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002942","name":"Program for Innovation Research in Central University of Finance and Economics","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002942","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002942","name":"Youth Talent Development Support Program by the Central University of Finance and Economics","doi-asserted-by":"publisher","award":["QYP1908"],"id":[{"id":"10.13039\/501100002942","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Research Funds of State Grid Shaanxi Electric Power Company and State Grid Shaanxi Information and Telecommunication Company","award":["SGSNXT00GCJS1900134"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1109\/tnnls.2020.3006738","type":"journal-article","created":{"date-parts":[[2020,7,21]],"date-time":"2020-07-21T20:35:51Z","timestamp":1595363751000},"page":"1808-1822","source":"Crossref","is-referenced-by-count":15,"title":["Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-1033-8908","authenticated-orcid":false,"given":"Lu","family":"Bai","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Beijing Normal University, Beijing, China"}]},{"given":"Lixin","family":"Cui","sequence":"additional","affiliation":[{"name":"School of Information, Central University of Finance and Economics, Beijing, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-0542-0640","authenticated-orcid":false,"given":"Zhihong","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Informatics, Xiamen University, Fujian, China"}]},{"given":"Lixiang","family":"Xu","sequence":"additional","affiliation":[{"name":"Hefei University, Anhui, China"}]},{"given":"Yue","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information, Central University of Finance and Economics, Beijing, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-4496-2028","authenticated-orcid":false,"given":"Edwin R.","family":"Hancock","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of York, York, U.K."}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2317880"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2673243"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2480959"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2015.06.061"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2013.01.012"},{"key":"ref6","article-title":"Modular dynamics of financial market networks","volume-title":"arXiv:1501.05040","author":"Silva","year":"2015"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-68020-8_9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2913038"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.96.238701"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1142\/S0218127405014167"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-87536-9_7"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.92.032810"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2509062"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2884700"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2705694"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2771830"},{"key":"ref17","volume-title":"Convolutional kernels on discrete structures","author":"Haussler","year":"1999"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.03.020"},{"key":"ref19","first-page":"3322","article-title":"A graph kernel based on the Jensen-Shannon representation alignment","volume-title":"Proc. 24th Int. Joint Conf. Artif. Intell. (IJCAI)","author":"Bai"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/nrn2575"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/S0375-9601(97)00855-4"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.83.036109"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.89.062807"},{"key":"ref24","volume-title":"Statistical Mechanic","author":"Huang","year":"1987"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2013\/04\/p04019"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.83.046117"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.76.061106"},{"key":"ref28","first-page":"2539","article-title":"Weisfeiler-Lehman graph kernels","volume":"12","author":"Shervashidze","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref29","first-page":"30","article-title":"An aligned subtree kernel for weighted graphs","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Bai"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-44848-9_7"},{"key":"ref31","first-page":"1615","article-title":"On valid optimal assignment kernels and applications to graph classification","volume-title":"Proc. Neural Inf. Process. Syst. (NIPS)","author":"Kriege"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/360"},{"key":"ref33","first-page":"321","article-title":"Marginalized kernels between labeled graphs","volume-title":"Proc. 20th Int. Conf. Mach. Learn. (ICML)","author":"Kashima"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.03.029"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.7208\/chicago\/9780226921969.001.0001"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1103"},{"key":"ref37","first-page":"929","article-title":"Fast global alignment kernels","volume-title":"Proc. 28th Int. Conf. Mach. Learn. (ICML)","author":"Cuturi"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.06.016"},{"key":"ref39","first-page":"488","article-title":"Efficient graphlet kernels for large graph comparison","volume":"5","author":"Shervashidze","year":"2009","journal-title":"J. Mach. Learn. Res."},{"key":"ref40","first-page":"694","article-title":"Global graph kernels using geometric embeddings","volume-title":"Proc. 31st Int. Conf. Mach. Learn. (ICML)","author":"Johansson"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.250608"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-012-0383-6"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.11.030"},{"key":"ref44","first-page":"C1","article-title":"Exorcising ghosts of Octobers past","volume":"15","author":"Browning","year":"2007","journal-title":"Wall Street J."},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.jempfin.2009.12.004"},{"key":"ref46","article-title":"Lehman files for bankruptcy, merrill sold, AIG seeks cash","volume-title":"Wall Street J.","author":"Mollenkamp","year":"2008"},{"key":"ref47","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"Witten","year":"2011"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.03.028"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2010.08.041"},{"key":"ref50","first-page":"2982","article-title":"The multiscale Laplacian graph kernel","volume-title":"Proc. NIPS","author":"Kondor"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.11.002"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107321"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107000"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-46150-8_28"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10091960\/09145837.pdf?arnumber=9145837","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:36:18Z","timestamp":1704843378000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9145837\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4]]},"references-count":55,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2020.3006738","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4]]}}}