{"title":"GPy\uff08Python\u306e\u30ac\u30a6\u30b9\u904e\u7a0b\u7528\u30e9\u30a4\u30d6\u30e9\u30ea\uff09\u306e\u4f7f\u3044\u65b9","url":"https://statmodeling.hatenablog.com/entry/how-to-use-GPy","author_url":"https://blog.hatena.ne.jp/StatModeling/","image_url":"http://kasugano.sakura.ne.jp/images/2016/20161112/fig8.png","blog_url":"https://statmodeling.hatenablog.com/","provider_name":"Hatena Blog","published":"2016-11-11 20:51:27","author_name":"StatModeling","height":"190","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fstatmodeling.hatenablog.com%2Fentry%2Fhow-to-use-GPy\" title=\"GPy\uff08Python\u306e\u30ac\u30a6\u30b9\u904e\u7a0b\u7528\u30e9\u30a4\u30d6\u30e9\u30ea\uff09\u306e\u4f7f\u3044\u65b9 - StatModeling Memorandum\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","description":"\u6982\u8981 GPy\u3092\u7528\u3044\u3066\u3001\u30b5\u30f3\u30d7\u30eb\u30d1\u30b9\u306e\u751f\u6210\u3001\u30ac\u30a6\u30b9\u904e\u7a0b\u56de\u5e30\u3001\u30af\u30e9\u30b9\u5206\u985e\u3001\u30dd\u30a2\u30bd\u30f3\u56de\u5e30\u3001Bayesian GPLVM\u3092\u5b9f\u884c\u3057\u307e\u3057\u305f\u3002\u81ea\u5206\u7528\u306e\u30e1\u30e2\u3067\u3059\u3002 \u53c2\u8003\u8cc7\u6599 [1] \u516c\u5f0f\u30da\u30fc\u30b8 [2] \u516c\u5f0f\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb [3] Gaussian Process Summer Schools\u306e\u8cc7\u6599 \u7406\u8ad6\u7684\u80cc\u666f\u306f\u4e0a\u8a18\u306e[3]\u3092\u53c2\u8003\u306b\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u65e5\u672c\u8a9e\u3067\u3082\u30ac\u30a6\u30b9\u904e\u7a0b\u306e\u89e3\u8aac\u304cMLP\u30b7\u30ea\u30fc\u30ba\u304b\u3089\u8c6a\u83ef\u8457\u8005\u9663\u3067\u51fa\u308b\u3088\u3046\u3067\u3059\u3002\u8d85\u671f\u5f85\u3057\u3066\u3044\u307e\u3059\u3002 \u4ee5\u4e0b\u306e\u30b5\u30f3\u30d7\u30eb\u30d7\u30ed\u30b0\u30e9\u30e0\u306f\u57fa\u672c\u7684\u306b[2]\u3092\u5143\u306b\u3057\u3066\u3044\u307e\u3059\u3002\u3057\u304b\u3057\u3001\u53e4\u304f\u3066\u305d\u306e\u307e\u307e\u3067\u306f\u52d5\u304b\u306a\u3044\u30d7\u30ed\u30b0\u30e9\u30e0\u3084\u5206\u304b\u308a\u306b\u304f\u3044\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5c11\u3057\u52a0\u5de5\u4fee\u6b63\u3057\u3066\u3044\u307e\u3059\u3002\u306a\u304a\u3001\u74b0\u5883\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u2026","provider_url":"https://hatena.blog","blog_title":"StatModeling Memorandum","categories":["Python"],"width":"100%","version":"1.0","type":"rich"}