{"id":84,"date":"2022-07-14T01:52:37","date_gmt":"2022-07-14T01:52:37","guid":{"rendered":"https:\/\/www.svms.org\/?p=84"},"modified":"2022-07-14T01:52:37","modified_gmt":"2022-07-14T01:52:37","slug":"training-support-vector-machines","status":"publish","type":"post","link":"https:\/\/www.svms.org\/training-support-vector-machines\/","title":{"rendered":"Training Support Vector Machines"},"content":{"rendered":"<h1 style=\"text-align: center;\"><strong>Training Support Vector Machines<\/strong><\/h1>\n<p>&nbsp;<\/p>\n<ul>\n<li>BOSER, Bernhard E., Isabelle M. GUYON and Vladimir N. VAPNIK, <a href=\"http:\/\/svms.org\/training\/BOGV92.pdf\">A Training Algorithm for Optimal Margin Classifiers<\/a><\/li>\n<li>Colin CAMPBELL and Nello CRISTIANINI, <a href=\"http:\/\/svms.org\/training\/CaCr.pdf\">Simple Learning Algorithms for Training Support Vector Machines<\/a><\/li>\n<li>CAMPBELL, Colin, <a href=\"http:\/\/svms.org\/training\/Cam.pdf\">Algorithmic Approaches to Training Support Vector Machines: A Survey<\/a><\/li>\n<li>CHANG, Chih-Chung and Chih-Jen LIN, <a href=\"http:\/\/svms.org\/training\/ChLi.pdf\">Training ?-Support Vector Classifiers: Theory and Algorithms<\/a><\/li>\n<li>OSUNA, Edgar, Robert FREUND and Federico GIROSI, <a href=\"http:\/\/svms.org\/training\/OsFG97.pdf\">An Improved Training Algorithm for Support Vector Machines<\/a><\/li>\n<li>OSUNA, Edgar E., Robert FREUND and Federico GIROSI, <a href=\"http:\/\/svms.org\/training\/OsFG.pdf\">Support Vector Machines: Training and Applications<\/a><\/li>\n<li>TRAFALIS, Theodore B., <a href=\"http:\/\/svms.org\/training\/Traf99.pdf\">Primal-Dual Optimization Methods in Neural Networks and Support Vector Machines Training<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Training Support Vector Machines &nbsp; BOSER, Bernhard E., Isabelle M. GUYON and Vladimir N. VAPNIK, A Training Algorithm for Optimal Margin Classifiers Colin CAMPBELL and Nello CRISTIANINI, Simple Learning Algorithms for Training Support Vector Machines CAMPBELL, Colin, Algorithmic Approaches to Training Support Vector Machines: A Survey CHANG, Chih-Chung and Chih-Jen LIN, Training ?-Support Vector Classifiers: [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/posts\/84"}],"collection":[{"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/comments?post=84"}],"version-history":[{"count":1,"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/posts\/84\/revisions"}],"predecessor-version":[{"id":85,"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/posts\/84\/revisions\/85"}],"wp:attachment":[{"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/media?parent=84"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/categories?post=84"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/tags?post=84"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}