{"id":76,"date":"2022-07-14T01:51:33","date_gmt":"2022-07-14T01:51:33","guid":{"rendered":"https:\/\/www.svms.org\/?p=76"},"modified":"2022-07-14T01:51:33","modified_gmt":"2022-07-14T01:51:33","slug":"regression","status":"publish","type":"post","link":"https:\/\/www.svms.org\/regression\/","title":{"rendered":"Regression"},"content":{"rendered":"
<\/p>\n
“The Support Vector method can also be applied to the case of regression, maintaining all the main features that characterise the maximal margin algorithm: a non-linear function is learned by a linear learning machine in a kernel-induced feature space while the capacity of the system is controlled by a parameter that does not depend on the dimensionality of the space.”
\nCristianini and Shawe-Taylor (2000)<\/p>\n
“In SVM the basic idea is to map the data x into a high-dimensional feature space F via a nonlinear mapping ?, and to do linear regression in this space (cf. Boser et al. (1992); Vapnik (1995)).”<\/p>\n
M?uller et al.<\/p>\n
<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
Support Vector Machines for Regression “The Support Vector method can also be applied to the case of regression, maintaining all the main features that characterise the maximal margin algorithm: a non-linear function is learned by a linear learning machine in a kernel-induced feature space while the capacity of the system is controlled by a […]<\/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\/76"}],"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=76"}],"version-history":[{"count":1,"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/posts\/76\/revisions"}],"predecessor-version":[{"id":77,"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/posts\/76\/revisions\/77"}],"wp:attachment":[{"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/media?parent=76"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/categories?post=76"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.svms.org\/wp-json\/wp\/v2\/tags?post=76"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}