{"id":86,"date":"2022-07-14T01:52:52","date_gmt":"2022-07-14T01:52:52","guid":{"rendered":"https:\/\/www.svms.org\/?p=86"},"modified":"2022-07-14T01:52:52","modified_gmt":"2022-07-14T01:52:52","slug":"tutorials","status":"publish","type":"post","link":"https:\/\/www.svms.org\/tutorials\/","title":{"rendered":"Tutorials"},"content":{"rendered":"<h1 style=\"text-align: center;\"><strong>SVM Tutorials<\/strong><\/h1>\n<p>&nbsp;<\/p>\n<h2>Best Tutorials<\/h2>\n<ul>\n<li><em>Introductory<\/em>: HEARST, Marti A., <i>et al.<\/i>, 1998. <a href=\"http:\/\/svms.org\/tutorials\/Hearst-etal1998.pdf\">Support vector machines<\/a>. <i>IEEE Intelligent Systems<\/i>, <b>13<\/b>(4), 18\u201328.<\/li>\n<li><em>Intermediate<\/em>: BURGES, Christopher J. C., 1998. <a href=\"http:\/\/svms.org\/tutorials\/Burges1998.pdf\">A tutorial on support vector machines for pattern recognition<\/a>. <i>Data Mining and Knowledge Discovery<\/i>, <b>2<\/b>(2), 121\u2013167.<\/li>\n<li><em>Advanced<\/em>: CRISTIANINI, Nello, and John SHAWE-TAYLOR, 2000. <a href=\"http:\/\/www.support-vector.net\/\"><i>An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods<\/i><\/a>. Cambridge, UK: Cambridge University Press.<\/li>\n<\/ul>\n<h2>Other Tutorials<\/h2>\n<ul>\n<li><a href=\"http:\/\/svms.org\/tutorials\/lfd-9.pdf\">Support Vector Machines<\/a><\/li>\n<li><a href=\"http:\/\/svms.org\/tutorials\/slide1.pdf\">slide1.pdf<\/a><\/li>\n<li>ASANO, A., <a href=\"http:\/\/svms.org\/tutorials\/Asano2004.pdf\">Support vector machine and kernel method<\/a>, Pattern information processing (2004 Autumn Semester) Session 12 (05. 1. 21)<\/li>\n<li>BENNETT, Kristin P. and Colin CAMPBELL, <a href=\"http:\/\/svms.org\/tutorials\/BennettCampbell2000.pdf\">Support Vector Machines: Hype or Hallelujah?<\/a> [about 80]<\/li>\n<li>BERWICK, <a href=\"http:\/\/svms.org\/tutorials\/Berwick2003.pdf\">An Idiot&#8217;s guide to Support vector machines (SVMs)<\/a><\/li>\n<li>BURBIDGE, Robert, <a href=\"http:\/\/svms.org\/tutorials\/Burbidge2001.pdf\">Support Vector Machines: Some Perspectives from Probability and Statistics<\/a> [3]<\/li>\n<li>BURBIDGE, Robert and Bernard BUXTON, <a href=\"http:\/\/svms.org\/tutorials\/BurbidgeBuxton2001.pdf\">An Introduction to Support Vector Machines for Data Mining<\/a> [about 17]<\/li>\n<li>CRISTIANINI, Nello, <a href=\"http:\/\/svms.org\/tutorials\/Cristianini2001.pdf\">Support Vector and Kernel Machines<\/a> [about 20]<\/li>\n<li>ER\u00c4ST\u00d6, Panu, <a href=\"http:\/\/svms.org\/tutorials\/Erasto2001.pdf\">Support Vector Machines &#8211; Backgrounds and Practice<\/a><\/li>\n<li>EVGENIOU, Theodoros and Massimiliano PONTIL, <a href=\"http:\/\/svms.org\/tutorials\/EvgeniouPontil1999.pdf\">Workshop on Support Vector Machines: Theory and Applications<\/a> [about 6]<\/li>\n<li>EVGENIOU, Theodoros and Massimiliano PONTIL, <a href=\"http:\/\/svms.org\/tutorials\/EvgeniouPontil2000.pdf\">Statistical Learning Theory: a Primer<\/a> [about 45]<\/li>\n<li>GUNN, Steve, <a href=\"http:\/\/svms.org\/tutorials\/Gunn1997.pdf\">Support Vector Machines for Classification and Regression<\/a> [about 101]<\/li>\n<li>GUNN, Steve, <a href=\"http:\/\/svms.org\/tutorials\/Gunn1998.pdf\">Support Vector Machines for Classification and Regression<\/a> [about 101]<\/li>\n<li>KECMAN, Vojislav, <a href=\"http:\/\/svms.org\/tutorials\/Kecman2001.pdf\">Learning from data: Support vector machines and neural networks: Similarities and differences<\/a> [1]<\/li>\n<li>LIN, Yi, <a href=\"http:\/\/svms.org\/tutorials\/Lin2000.pdf\">On the Support Vector Machine<\/a> [about 4]<\/li>\n<li>MOORE, Andrew W., <a href=\"http:\/\/svms.org\/tutorials\/Moore2001.pdf\">Support Vector Machines<\/a><\/li>\n<li>PONTIL, Massimiliano and Alessandro VERRI, <a href=\"http:\/\/svms.org\/tutorials\/PontilVerri1997.pdf\">Properties of Support Vector Machines<\/a><\/li>\n<li>PONTIL, Massimiliano and Alessandro VERRI, <a href=\"http:\/\/svms.org\/tutorials\/PontilVerri1998.pdf\">Properties of Support Vector Machines<\/a>, 1998.<\/li>\n<li>RAUDYS, \u0160., <a href=\"http:\/\/svms.org\/tutorials\/Raudys2000.pdf\">How good are support vector machines?<\/a> [10]<\/li>\n<li>RIFKIN, Ryan, <a href=\"http:\/\/svms.org\/tutorials\/Rifkin.pdf\">Current Topics of Research III: Theory And Implmentation Of Support Vector Machines<\/a><\/li>\n<li>SMOLA, Alex J. and Bernhard SCH?O?LKOPF, <a href=\"http:\/\/svms.org\/tutorials\/SmolaScholkopf1998.pdf\">A Tutorial on Support Vector Regression<\/a> [about 450]<\/li>\n<li>SMOLA, Alex and Bernhard SCH?O?LKOPF, <a href=\"http:\/\/www.kernel-machines.org\/tutorial.html\">Tutorials on Kernel Methods<\/a><\/li>\n<li>SMOLA, Alexander J., et al., (editors) <a href=\"http:\/\/svms.org\/tutorials\/Smolaetal2000.pdf\">Advances in Large Margin Classifiers<\/a><\/li>\n<li>VERT, Jean-Philippe, <a href=\"http:\/\/svms.org\/tutorials\/Vert2002.pdf\">Support Vector Machines (SVM) in bioinformatics<\/a><\/li>\n<\/ul>\n<p><span class=\"statcounter\"><img decoding=\"async\" src=\"http:\/\/c.statcounter.com\/t.php?sc_project=878162&amp;java=1&amp;security=dd98a97a&amp;u1=020D5EF54DE94F308EDA110C5B091A2C&amp;sc_rum_e_s=91&amp;sc_rum_e_e=107&amp;sc_random=0.11863028257970587&amp;jg=116&amp;rr=3.3.3.3.3.3.2.2.2&amp;resolution=1366&amp;h=768&amp;camefrom=http%3A\/\/svms.org\/&amp;u=http%3A\/\/svms.org\/tutorials\/&amp;t=SVM%20Tutorials&amp;rcat=d&amp;rdomo=d&amp;rdomg=116&amp;sc_snum=1&amp;sess=e6f069&amp;p=0\" alt=\"StatCounter - Free Web Tracker and Counter\" border=\"0\" \/><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>SVM Tutorials &nbsp; Best Tutorials Introductory: HEARST, Marti A., et al., 1998. Support vector machines. IEEE Intelligent Systems, 13(4), 18\u201328. Intermediate: BURGES, Christopher J. C., 1998. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2), 121\u2013167. Advanced: CRISTIANINI, Nello, and John SHAWE-TAYLOR, 2000. An Introduction to Support Vector Machines [&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\/86"}],"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=86"}],"version-history":[{"count":1,"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/posts\/86\/revisions"}],"predecessor-version":[{"id":87,"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/posts\/86\/revisions\/87"}],"wp:attachment":[{"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/media?parent=86"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/categories?post=86"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/tags?post=86"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}