{"id":2832,"date":"2013-03-23T12:02:15","date_gmt":"2013-03-23T03:02:15","guid":{"rendered":"http:\/\/hyperresearch.com\/app-def\/S-102\/blog\/?p=2832"},"modified":"2013-03-23T12:02:15","modified_gmt":"2013-03-23T03:02:15","slug":"darpa%e3%81%ae%e3%83%97%e3%83%ad%e3%82%b0%e3%83%a9%e3%83%a0-probabilistic-programming-for-advanced-machine-learning-ppaml","status":"publish","type":"post","link":"http:\/\/hyperresearch.com\/wp\/2013\/03\/23\/daily-scenes\/darpa%e3%81%ae%e3%83%97%e3%83%ad%e3%82%b0%e3%83%a9%e3%83%a0-probabilistic-programming-for-advanced-machine-learning-ppaml\/","title":{"rendered":"DARPA\u306e\u30d7\u30ed\u30b0\u30e9\u30e0 Probabilistic Programming for Advanced Machine Learning (PPAML)"},"content":{"rendered":"<p>\t\t\t\tDARPA\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u00a0Probabilistic Programming for Advanced Machine Learning (PPAML)\u3000\u304c\u8d70\u308b\u3060\u305d\u3046\u3060\u3002\u3000<a href=\"http:\/\/www.darpa.mil\/NewsEvents\/Releases\/2013\/03\/19a.aspx\">DARPA\u306e\u30a2\u30ca\u30a6\u30f3\u30b9<\/a>\u306b\u66f0\u304f<\/p>\n<blockquote><p>The Probabilistic Programming for Advanced Machine Learning (PPAML) program was launched to address this challenge. Probabilistic programming is a new programming paradigm for managing uncertain information. By incorporating it into machine learning, PPAML seeks to greatly increase the number of people who can successfully build machine learning applications and make machine learning experts radically more effective. Moreover, the program seeks to create more economical, robust and powerful applications that need less data to produce more accurate results \u2013 features inconceivable with today\u2019s technology.<\/p><\/blockquote>\n<p>\u3055\u3066\u3001\u9762\u767d\u305d\u3046\u306a\u8a71\u3060\u304c\u3001\u3069\u3053\u3078\u5411\u304b\u3046\u306e\u3084\u3089\u3002\u3000Machine learning\u306b\u9650\u5b9a\u3057\u3066\u3044\u308b\u306e\u3060\u304c\u3001\u305d\u308c\u304c\u3044\u3044\u306e\u304b\u3069\u3046\u304b\u3002\u3000\u3046\u307e\u304f\u30b3\u30e1\u30f3\u30c8\u3067\u304d\u306a\u3044\u304c\u3002\t\t<\/p>\n","protected":false},"excerpt":{"rendered":"<p>DARPA\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u00a0Probabilistic Programming for Advanced Machine Learning (PPAML)\u3000\u304c\u8d70\u308b\u3060\u305d\u3046\u3060\u3002\u3000DARPA\u306e\u30a2\u30ca\u30a6\u30f3\u30b9\u306b\u66f0\u304f The Probab [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-2832","post","type-post","status-publish","format-standard","hentry","category-daily-scenes"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/hyperresearch.com\/wp\/wp-json\/wp\/v2\/posts\/2832","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/hyperresearch.com\/wp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/hyperresearch.com\/wp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/hyperresearch.com\/wp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/hyperresearch.com\/wp\/wp-json\/wp\/v2\/comments?post=2832"}],"version-history":[{"count":0,"href":"http:\/\/hyperresearch.com\/wp\/wp-json\/wp\/v2\/posts\/2832\/revisions"}],"wp:attachment":[{"href":"http:\/\/hyperresearch.com\/wp\/wp-json\/wp\/v2\/media?parent=2832"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/hyperresearch.com\/wp\/wp-json\/wp\/v2\/categories?post=2832"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/hyperresearch.com\/wp\/wp-json\/wp\/v2\/tags?post=2832"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}