{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:45:40Z","timestamp":1760708740759,"version":"3.28.0"},"reference-count":14,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,7]]},"DOI":"10.1109\/cec.2014.6900389","type":"proceedings-article","created":{"date-parts":[[2014,9,29]],"date-time":"2014-09-29T21:35:57Z","timestamp":1412026557000},"page":"1674-1681","source":"Crossref","is-referenced-by-count":1,"title":["GP-based kernel evolution for L&lt;inf&gt;2&lt;\/inf&gt;-Regularization Networks"],"prefix":"10.1109","author":[{"given":"Simone","family":"Scardapane","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danilo","family":"Comminiello","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michele","family":"Scarpiniti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aurelio","family":"Uncini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"13","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139020411"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2003.819263"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1023\/A:1018946025316"},{"key":"12","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1007\/3-540-45984-7_16","article-title":"Maintaining the diversity of genetic programs","volume":"2278","author":"ekrt","year":"2002","journal-title":"Genetic Programming"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1214\/009053607000000677"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1145\/130385.130401"},{"key":"1","first-page":"821","article-title":"Theoretical foundations of the potential function method in pattern recognition learning","volume":"25","author":"aizerman","year":"1964","journal-title":"Automation and Remote Control"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1007\/s12065-012-0073-8"},{"key":"7","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1007\/s10462-005-9009-3","article-title":"The genetic kernel support vector machine: Description and evaluation","volume":"24","author":"howley","year":"2005","journal-title":"Artificial Intelligence Review"},{"journal-title":"A Field Guide to Genetic Programming","year":"2008","author":"poli","key":"6"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2237183"},{"key":"4","first-page":"26512667","article-title":"Universal kernels","volume":"7","author":"micchelli","year":"2006","journal-title":"The Journal of Machine Learning Research"},{"key":"9","first-page":"280","article-title":"Improving classification performance of support vector machine by genetically optimising kernel shape and hyper-parameters","volume":"36","author":"dioan","year":"2010","journal-title":"Applied Intelligence"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1145\/1276958.1277292"}],"event":{"name":"2014 IEEE Congress on Evolutionary Computation (CEC)","start":{"date-parts":[[2014,7,6]]},"location":"Beijing, China","end":{"date-parts":[[2014,7,11]]}},"container-title":["2014 IEEE Congress on Evolutionary Computation (CEC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6880677\/6900223\/06900389.pdf?arnumber=6900389","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,14]],"date-time":"2020-10-14T16:03:41Z","timestamp":1602691421000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/6900389"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,7]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/cec.2014.6900389","relation":{},"subject":[],"published":{"date-parts":[[2014,7]]}}}