{"action":"closed","issue":{"url":"https://api.github.com/repos/chengsoonong/digbeta/issues/77","repository_url":"https://api.github.com/repos/chengsoonong/digbeta","labels_url":"https://api.github.com/repos/chengsoonong/digbeta/issues/77/labels{/name}","comments_url":"https://api.github.com/repos/chengsoonong/digbeta/issues/77/comments","events_url":"https://api.github.com/repos/chengsoonong/digbeta/issues/77/events","html_url":"https://github.com/chengsoonong/digbeta/issues/77","id":148219842,"number":77,"title":"SSVM - ILP","user":{"login":"chengsoonong","id":709424,"avatar_url":"https://avatars2.githubusercontent.com/u/709424?v=3","gravatar_id":"","url":"https://api.github.com/users/chengsoonong","html_url":"https://github.com/chengsoonong","followers_url":"https://api.github.com/users/chengsoonong/followers","following_url":"https://api.github.com/users/chengsoonong/following{/other_user}","gists_url":"https://api.github.com/users/chengsoonong/gists{/gist_id}","starred_url":"https://api.github.com/users/chengsoonong/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/chengsoonong/subscriptions","organizations_url":"https://api.github.com/users/chengsoonong/orgs","repos_url":"https://api.github.com/users/chengsoonong/repos","events_url":"https://api.github.com/users/chengsoonong/events{/privacy}","received_events_url":"https://api.github.com/users/chengsoonong/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":4,"created_at":"2016-04-14T00:45:40Z","updated_at":"2017-03-01T00:03:57Z","closed_at":"2017-03-01T00:03:57Z","body":"It turns out that self loops and tottering is hurting predictions. SSVM does not take care of this. To avoid tottering, we need to solve an ILP.\n\nThe task is to update structured prediction learning to allow for an ILP inside.\n"}}
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