{"version":"1.0","categories":["\u8ad6\u6587\u7d39\u4ecb","\u6a5f\u68b0\u5b66\u7fd2"],"url":"https://hoxo-m.hatenablog.com/entry/2018/04/06/121642","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhoxo-m.hatenablog.com%2Fentry%2F2018%2F04%2F06%2F121642\" title=\"Stochastic Online Anomaly Analysis for Streaming Time Series \u8aad\u3093\u3060 - \u307b\u304f\u305d\u7b11\u3080\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","height":"190","title":"Stochastic Online Anomaly Analysis for Streaming Time Series \u8aad\u3093\u3060","published":"2018-04-06 12:16:42","provider_name":"Hatena Blog","author_name":"hoxo_m","image_url":null,"provider_url":"https://hatena.blog","blog_title":"\u307b\u304f\u305d\u7b11\u3080","description":"Stochastic Online Anomaly Analysis for Streaming Time Series (IJCAI 2017) https://doi.org/10.24963/ijcai.2017/445 Student-t process \u3092\u4f7f\u3063\u305f\u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0\u6642\u7cfb\u5217\u306b\u5bfe\u3059\u308b\u65b0\u3057\u3044\u7570\u5e38\u691c\u77e5\u624b\u6cd5\u3092\u63d0\u6848\u3059\u308b\u3002 \u6642\u7cfb\u5217\u95a2\u6570\u304c Student-t process \u306b\u5f93\u3046\u3068\u4eee\u5b9a\u3057\u4e88\u6e2c\u5206\u5e03\u3092\u63a8\u5b9a\u3059\u308b\u3002 \u5f97\u3089\u308c\u305f\u4e88\u6e2c\u5206\u5e03\u306b\u5bfe\u3057\u3066\u5b9f\u969b\u306e\u89b3\u6e2c\u5024\u304c\u78ba\u7387 p \u306e\u4e88\u6e2c\u533a\u9593\u304b\u3089\u5916\u308c\u305f\u5834\u5408\u3092\u7570\u5e38\u3068\u307f\u306a\u3059\u3002 \u30e2\u30c7\u30eb\u306e\u5b66\u7fd2\u306f\u30d5\u30eb\u30d9\u30a4\u30ba\u3067\u884c\u308f\u308c\u3001\u30ab\u30fc\u30cd\u30eb\u95a2\u6570\u306e\u6301\u3064\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u306b\u3064\u3044\u3066\u3082\u5b66\u7fd2\u3059\u308b\u3002 \u2026","blog_url":"https://hoxo-m.hatenablog.com/","author_url":"https://blog.hatena.ne.jp/hoxo_m/","width":"100%","type":"rich"}