{"id":475994,"date":"2023-08-09T07:25:33","date_gmt":"2023-08-09T07:25:33","guid":{"rendered":""},"modified":"2023-09-05T11:11:48","modified_gmt":"2023-09-05T11:11:48","slug":"bayesian-optimization","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/jp\/wiki\/bayesian-optimization\/","title":{"rendered":"\u30d9\u30a4\u30ba\u6700\u9069\u5316"},"content":{"rendered":"<p>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306f\u3001\u8907\u96d1\u3067\u30b3\u30b9\u30c8\u306e\u304b\u304b\u308b\u76ee\u7684\u95a2\u6570\u306e\u6700\u9069\u89e3\u3092\u898b\u3064\u3051\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u308b\u5f37\u529b\u306a\u6700\u9069\u5316\u624b\u6cd5\u3067\u3059\u3002\u3053\u308c\u306f\u3001\u76ee\u7684\u95a2\u6570\u306e\u76f4\u63a5\u8a55\u4fa1\u306b\u6642\u9593\u304c\u304b\u304b\u308a\u3001\u30b3\u30b9\u30c8\u304c\u304b\u304b\u308b\u30b7\u30ca\u30ea\u30aa\u306b\u7279\u306b\u9069\u3057\u3066\u3044\u307e\u3059\u3002\u30d9\u30a4\u30ba\u6700\u9069\u5316\u3067\u306f\u3001\u76ee\u7684\u95a2\u6570\u3092\u8868\u3059\u78ba\u7387\u30e2\u30c7\u30eb\u3092\u63a1\u7528\u3057\u3001\u89b3\u6e2c\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u3044\u3066\u305d\u308c\u3092\u7e70\u308a\u8fd4\u3057\u66f4\u65b0\u3059\u308b\u3053\u3068\u3067\u3001\u691c\u7d22\u7a7a\u9593\u3092\u52b9\u7387\u7684\u306b\u30ca\u30d3\u30b2\u30fc\u30c8\u3057\u3001\u6700\u9069\u306a\u30dd\u30a4\u30f3\u30c8\u3092\u898b\u3064\u3051\u307e\u3059\u3002<\/p>\n<h2>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306e\u8d77\u6e90\u3068\u305d\u306e\u6700\u521d\u306e\u8a00\u53ca\u306e\u6b74\u53f2\u3002<\/h2>\n<p>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306e\u8d77\u6e90\u306f\u30011970 \u5e74\u4ee3\u306e\u30b8\u30e7\u30f3 \u30e2\u30c3\u30ab\u30b9\u306e\u7814\u7a76\u306b\u9061\u308a\u307e\u3059\u3002\u5f7c\u306f\u3001\u95a2\u6570\u306e\u52d5\u4f5c\u306b\u95a2\u3059\u308b\u60c5\u5831\u3092\u53ce\u96c6\u3059\u308b\u305f\u3081\u306b\u30b5\u30f3\u30d7\u30eb \u30dd\u30a4\u30f3\u30c8\u3092\u9806\u756a\u306b\u9078\u629e\u3059\u308b\u3053\u3068\u3067\u3001\u9ad8\u4fa1\u306a\u30d6\u30e9\u30c3\u30af \u30dc\u30c3\u30af\u30b9\u95a2\u6570\u3092\u6700\u9069\u5316\u3059\u308b\u3068\u3044\u3046\u30a2\u30a4\u30c7\u30a2\u306e\u5148\u99c6\u8005\u3067\u3057\u305f\u3002\u3057\u304b\u3057\u3001\u300c\u30d9\u30a4\u30ba\u6700\u9069\u5316\u300d\u3068\u3044\u3046\u7528\u8a9e\u81ea\u4f53\u306f\u3001\u7814\u7a76\u8005\u304c\u78ba\u7387\u30e2\u30c7\u30eb\u3068\u30b0\u30ed\u30fc\u30d0\u30eb\u6700\u9069\u5316\u624b\u6cd5\u306e\u7d44\u307f\u5408\u308f\u305b\u3092\u7814\u7a76\u3057\u59cb\u3081\u305f 2000 \u5e74\u4ee3\u306b\u4eba\u6c17\u3092\u535a\u3057\u307e\u3057\u305f\u3002<\/p>\n<h2>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306b\u95a2\u3059\u308b\u8a73\u7d30\u60c5\u5831\u3002\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306e\u30c8\u30d4\u30c3\u30af\u3092\u62e1\u5f35\u3057\u307e\u3059\u3002<\/h2>\n<p>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306f\u76ee\u7684\u95a2\u6570\u3092\u6700\u5c0f\u5316\u3059\u308b\u3053\u3068\u3092\u76ee\u6307\u3057\u3066\u3044\u308b <span class=\"math math-inline\"><span class=\"katex\"><span class=\"katex-mathml\"><math ><semantics><mrow><mi>\u3075<\/mi><mo stretchy=\"false\">(<\/mo><mi>\u30d0\u30c4<\/mi><mo stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">f(x)<\/annotation><\/semantics><\/math><\/span><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"base\"><span class=\"strut\" style=\"height: 1em; vertical-align: -0.25em;\"><\/span><span class=\"mord mathnormal\" style=\"margin-right: 0.10764em;\">\u3075<\/span><span class=\"mopen\">(<\/span><span class=\"mord mathnormal\">\u30d0\u30c4<\/span><span class=\"mclose\">)<\/span><\/span><\/span><\/span><\/span> \u9650\u5b9a\u3055\u308c\u305f\u9818\u57df\u3092\u8d85\u3048\u3066 <span class=\"math math-inline\"><span class=\"katex\"><span class=\"katex-mathml\"><math ><semantics><mrow><mi>\u30d0\u30c4<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">\u30d0\u30c4<\/annotation><\/semantics><\/math><\/span><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"base\"><span class=\"strut\" style=\"height: 0.6833em;\"><\/span><span class=\"mord mathnormal\" style=\"margin-right: 0.07847em;\">\u30d0\u30c4<\/span><\/span><\/span><\/span><\/span>\u9375\u3068\u306a\u308b\u6982\u5ff5\u306f\u3001\u672a\u77e5\u306e\u76ee\u7684\u95a2\u6570\u3092\u8fd1\u4f3c\u3059\u308b\u78ba\u7387\u7684\u4ee3\u7406\u30e2\u30c7\u30eb\uff08\u591a\u304f\u306e\u5834\u5408\u3001\u30ac\u30a6\u30b9\u904e\u7a0b\uff08GP\uff09\uff09\u3092\u7dad\u6301\u3059\u308b\u3053\u3068\u3067\u3059\u3002GP\u306f\u3001 <span class=\"math math-inline\"><span class=\"katex\"><span class=\"katex-mathml\"><math ><semantics><mrow><mi>\u3075<\/mi><mo stretchy=\"false\">(<\/mo><mi>\u30d0\u30c4<\/mi><mo stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">f(x)<\/annotation><\/semantics><\/math><\/span><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"base\"><span class=\"strut\" style=\"height: 1em; vertical-align: -0.25em;\"><\/span><span class=\"mord mathnormal\" style=\"margin-right: 0.10764em;\">\u3075<\/span><span class=\"mopen\">(<\/span><span class=\"mord mathnormal\">\u30d0\u30c4<\/span><span class=\"mclose\">)<\/span><\/span><\/span><\/span><\/span> \u4e88\u6e2c\u306e\u4e0d\u78ba\u5b9f\u6027\u306e\u5c3a\u5ea6\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u5404\u53cd\u5fa9\u3067\u3001\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u6d3b\u7528 (\u95a2\u6570\u5024\u306e\u4f4e\u3044\u30dd\u30a4\u30f3\u30c8\u306e\u9078\u629e) \u3068\u63a2\u7d22 (\u4e0d\u78ba\u5b9f\u306a\u9818\u57df\u306e\u63a2\u7d22) \u306e\u30d0\u30e9\u30f3\u30b9\u3092\u53d6\u308a\u306a\u304c\u3089\u3001\u8a55\u4fa1\u3059\u308b\u6b21\u306e\u30dd\u30a4\u30f3\u30c8\u3092\u63d0\u6848\u3057\u307e\u3059\u3002<\/p>\n<p>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306b\u542b\u307e\u308c\u308b\u624b\u9806\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u53d6\u5f97\u6a5f\u80fd<\/strong>: \u53d6\u5f97\u95a2\u6570\u306f\u3001\u30b5\u30ed\u30b2\u30fc\u30c8 \u30e2\u30c7\u30eb\u306e\u4e88\u6e2c\u3068\u4e0d\u78ba\u5b9f\u6027\u306e\u63a8\u5b9a\u306b\u57fa\u3065\u3044\u3066\u8a55\u4fa1\u3059\u308b\u6b21\u306e\u30dd\u30a4\u30f3\u30c8\u3092\u9078\u629e\u3059\u308b\u3053\u3068\u3067\u3001\u691c\u7d22\u3092\u30ac\u30a4\u30c9\u3057\u307e\u3059\u3002\u4e00\u822c\u7684\u306a\u53d6\u5f97\u95a2\u6570\u306b\u306f\u3001\u6539\u5584\u78ba\u7387 (PI)\u3001\u671f\u5f85\u6539\u5584 (EI)\u3001\u304a\u3088\u3073\u4fe1\u983c\u4e0a\u9650\u5883\u754c (UCB) \u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u4ee3\u7406\u30e2\u30c7\u30eb<\/strong>: \u30ac\u30a6\u30b9\u904e\u7a0b\u306f\u3001\u30d9\u30a4\u30ba\u6700\u9069\u5316\u3067\u4f7f\u7528\u3055\u308c\u308b\u4e00\u822c\u7684\u306a\u4ee3\u7406\u30e2\u30c7\u30eb\u3067\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u76ee\u7684\u95a2\u6570\u3068\u305d\u306e\u4e0d\u78ba\u5b9f\u6027\u3092\u52b9\u7387\u7684\u306b\u63a8\u5b9a\u3067\u304d\u307e\u3059\u3002\u554f\u984c\u306b\u5fdc\u3058\u3066\u3001\u30e9\u30f3\u30c0\u30e0 \u30d5\u30a9\u30ec\u30b9\u30c8\u3084\u30d9\u30a4\u30ba \u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306a\u3069\u306e\u4ed6\u306e\u4ee3\u7406\u30e2\u30c7\u30eb\u3082\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6700\u9069\u5316<\/strong>\u7372\u5f97\u95a2\u6570\u304c\u5b9a\u7fa9\u3055\u308c\u308b\u3068\u3001L-BFGS\u3001\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3001\u307e\u305f\u306f\u30d9\u30a4\u30ba\u6700\u9069\u5316\u81ea\u4f53\uff08\u4f4e\u6b21\u5143\u306e\u4ee3\u7406\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\uff09\u306a\u3069\u306e\u6700\u9069\u5316\u624b\u6cd5\u3092\u4f7f\u7528\u3057\u3066\u3001\u6700\u9069\u306a\u30dd\u30a4\u30f3\u30c8\u304c\u898b\u3064\u304b\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30b5\u30ed\u30b2\u30fc\u30c8\u306e\u66f4\u65b0<\/strong>: \u63d0\u6848\u3055\u308c\u305f\u30dd\u30a4\u30f3\u30c8\u3067\u76ee\u7684\u95a2\u6570\u3092\u8a55\u4fa1\u3057\u305f\u5f8c\u3001\u4ee3\u66ff\u30e2\u30c7\u30eb\u304c\u66f4\u65b0\u3055\u308c\u3001\u65b0\u3057\u3044\u89b3\u6e2c\u304c\u7d44\u307f\u8fbc\u307e\u308c\u307e\u3059\u3002\u3053\u306e\u53cd\u5fa9\u30d7\u30ed\u30bb\u30b9\u306f\u3001\u53ce\u675f\u3059\u308b\u304b\u3001\u4e8b\u524d\u306b\u5b9a\u7fa9\u3055\u308c\u305f\u505c\u6b62\u57fa\u6e96\u304c\u6e80\u305f\u3055\u308c\u308b\u307e\u3067\u7d99\u7d9a\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306e\u5185\u90e8\u69cb\u9020\u3002\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306e\u4ed5\u7d44\u307f\u3002<\/h2>\n<p>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306f\u3001\u4ee3\u7406\u30e2\u30c7\u30eb\u3068\u7372\u5f97\u95a2\u6570\u3068\u3044\u3046 2 \u3064\u306e\u4e3b\u8981\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u3067\u69cb\u6210\u3055\u308c\u307e\u3059\u3002<\/p>\n<h3>\u4ee3\u7406\u30e2\u30c7\u30eb<\/h3>\n<p>\u4ee3\u7406\u30e2\u30c7\u30eb\u306f\u3001\u89b3\u6e2c\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u3044\u3066\u672a\u77e5\u306e\u76ee\u7684\u95a2\u6570\u3092\u8fd1\u4f3c\u3057\u307e\u3059\u3002\u30ac\u30a6\u30b9\u904e\u7a0b (GP) \u306f\u3001\u305d\u306e\u67d4\u8edf\u6027\u3068\u4e0d\u78ba\u5b9f\u6027\u3092\u6349\u3048\u308b\u80fd\u529b\u306b\u3088\u308a\u3001\u4ee3\u7406\u30e2\u30c7\u30eb\u3068\u3057\u3066\u3088\u304f\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002GP \u306f\u95a2\u6570\u306e\u4e8b\u524d\u5206\u5e03\u3092\u5b9a\u7fa9\u3057\u3001\u65b0\u3057\u3044\u30c7\u30fc\u30bf\u3067\u66f4\u65b0\u3055\u308c\u3066\u4e8b\u5f8c\u5206\u5e03\u3092\u53d6\u5f97\u3057\u307e\u3059\u3002\u4e8b\u5f8c\u5206\u5e03\u306f\u3001\u89b3\u6e2c\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u3044\u3066\u6700\u3082\u53ef\u80fd\u6027\u306e\u9ad8\u3044\u95a2\u6570\u3092\u8868\u3057\u307e\u3059\u3002<\/p>\n<p>GP \u306f\u5e73\u5747\u95a2\u6570\u3068\u5171\u5206\u6563\u95a2\u6570 (\u30ab\u30fc\u30cd\u30eb) \u306b\u3088\u3063\u3066\u7279\u5fb4\u4ed8\u3051\u3089\u308c\u307e\u3059\u3002\u5e73\u5747\u95a2\u6570\u306f\u76ee\u7684\u95a2\u6570\u306e\u671f\u5f85\u5024\u3092\u63a8\u5b9a\u3057\u3001\u5171\u5206\u6563\u95a2\u6570\u306f\u7570\u306a\u308b\u30dd\u30a4\u30f3\u30c8\u3067\u306e\u95a2\u6570\u5024\u9593\u306e\u985e\u4f3c\u6027\u3092\u6e2c\u5b9a\u3057\u307e\u3059\u3002\u30ab\u30fc\u30cd\u30eb\u306e\u9078\u629e\u306f\u3001\u6ed1\u3089\u304b\u3055\u3084\u5468\u671f\u6027\u306a\u3069\u306e\u76ee\u7684\u95a2\u6570\u306e\u7279\u6027\u306b\u3088\u3063\u3066\u7570\u306a\u308a\u307e\u3059\u3002<\/p>\n<h3>\u53d6\u5f97\u6a5f\u80fd<\/h3>\n<p>\u7372\u5f97\u95a2\u6570\u306f\u3001\u63a2\u7d22\u3068\u6d3b\u7528\u306e\u30d0\u30e9\u30f3\u30b9\u3092\u3068\u308b\u3053\u3068\u3067\u6700\u9069\u5316\u30d7\u30ed\u30bb\u30b9\u3092\u5c0e\u304f\u4e0a\u3067\u975e\u5e38\u306b\u91cd\u8981\u3067\u3059\u3002\u7372\u5f97\u95a2\u6570\u306f\u3001\u3042\u308b\u70b9\u304c\u30b0\u30ed\u30fc\u30d0\u30eb\u6700\u9069\u70b9\u3068\u306a\u308b\u53ef\u80fd\u6027\u3092\u5b9a\u91cf\u5316\u3057\u307e\u3059\u3002\u4e00\u822c\u7684\u306b\u4f7f\u7528\u3055\u308c\u308b\u7372\u5f97\u95a2\u6570\u306b\u306f\u3001\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u6539\u5584\u78ba\u7387\uff08PI\uff09<\/strong>: \u3053\u306e\u95a2\u6570\u306f\u3001\u73fe\u5728\u306e\u6700\u9ad8\u5024\u3092\u6539\u5584\u3059\u308b\u53ef\u80fd\u6027\u304c\u6700\u3082\u9ad8\u3044\u30dd\u30a4\u30f3\u30c8\u3092\u9078\u629e\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u671f\u5f85\u3055\u308c\u308b\u6539\u5584 (EI)<\/strong>: \u6539\u5584\u306e\u78ba\u7387\u3068\u95a2\u6570\u5024\u306e\u671f\u5f85\u3055\u308c\u308b\u6539\u5584\u306e\u4e21\u65b9\u3092\u8003\u616e\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u4fe1\u983c\u4e0a\u9650\u5024 (UCB)<\/strong>UCB \u306f\u3001\u4e0d\u78ba\u5b9f\u6027\u3068\u4e88\u6e2c\u3055\u308c\u308b\u95a2\u6570\u5024\u306e\u30d0\u30e9\u30f3\u30b9\u3092\u5236\u5fa1\u3059\u308b\u30c8\u30ec\u30fc\u30c9\u30aa\u30d5 \u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u3092\u4f7f\u7528\u3057\u3066\u3001\u63a2\u7d22\u3068\u6d3b\u7528\u306e\u30d0\u30e9\u30f3\u30b9\u3092\u3068\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u53d6\u5f97\u95a2\u6570\u306f\u8a55\u4fa1\u306e\u305f\u3081\u306e\u6b21\u306e\u30dd\u30a4\u30f3\u30c8\u306e\u9078\u629e\u3092\u30ac\u30a4\u30c9\u3057\u3001\u6700\u9069\u306a\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u304c\u898b\u3064\u304b\u308b\u307e\u3067\u30d7\u30ed\u30bb\u30b9\u304c\u53cd\u5fa9\u7684\u306b\u7d99\u7d9a\u3055\u308c\u307e\u3059\u3002<\/p>\n<h2>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306e\u4e3b\u8981\u306a\u7279\u5fb4\u306e\u5206\u6790\u3002<\/h2>\n<p>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306b\u306f\u3001\u3055\u307e\u3056\u307e\u306a\u6700\u9069\u5316\u30bf\u30b9\u30af\u306b\u3068\u3063\u3066\u9b45\u529b\u7684\u306a\u3044\u304f\u3064\u304b\u306e\u91cd\u8981\u306a\u6a5f\u80fd\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u30b5\u30f3\u30d7\u30eb\u52b9\u7387<\/strong>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306f\u3001\u76ee\u7684\u95a2\u6570\u3092\u6bd4\u8f03\u7684\u5c11\u306a\u3044\u56de\u6570\u8a55\u4fa1\u3059\u308b\u3060\u3051\u3067\u3001\u52b9\u7387\u7684\u306b\u6700\u9069\u89e3\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u95a2\u6570\u306e\u8a55\u4fa1\u306b\u6642\u9593\u304c\u304b\u304b\u3063\u305f\u308a\u3001\u30b3\u30b9\u30c8\u304c\u304b\u304b\u3063\u305f\u308a\u3059\u308b\u5834\u5408\u306b\u7279\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30b0\u30ed\u30fc\u30d0\u30eb\u6700\u9069\u5316<\/strong>: \u52fe\u914d\u30d9\u30fc\u30b9\u306e\u65b9\u6cd5\u3068\u306f\u7570\u306a\u308a\u3001\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306f\u30b0\u30ed\u30fc\u30d0\u30eb\u6700\u9069\u5316\u624b\u6cd5\u3067\u3059\u3002\u5c40\u6240\u6700\u9069\u5024\u306b\u3068\u3089\u308f\u308c\u308b\u306e\u3067\u306f\u306a\u304f\u3001\u691c\u7d22\u7a7a\u9593\u3092\u52b9\u7387\u7684\u306b\u63a2\u7d22\u3057\u3066\u30b0\u30ed\u30fc\u30d0\u30eb\u6700\u9069\u5024\u3092\u898b\u3064\u3051\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u78ba\u7387\u7684\u8868\u73fe<\/strong>: \u30ac\u30a6\u30b9\u904e\u7a0b\u3092\u4f7f\u7528\u3057\u305f\u76ee\u7684\u95a2\u6570\u306e\u78ba\u7387\u7684\u8868\u73fe\u306b\u3088\u308a\u3001\u4e88\u6e2c\u306e\u4e0d\u78ba\u5b9f\u6027\u3092\u5b9a\u91cf\u5316\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u30ce\u30a4\u30ba\u306e\u591a\u3044\u76ee\u7684\u95a2\u6570\u3084\u4e0d\u78ba\u5b9f\u306a\u76ee\u7684\u95a2\u6570\u3092\u6271\u3046\u5834\u5408\u306b\u7279\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30e6\u30fc\u30b6\u30fc\u5b9a\u7fa9\u5236\u7d04<\/strong>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306f\u3001\u30e6\u30fc\u30b6\u30fc\u5b9a\u7fa9\u306e\u5236\u7d04\u306b\u7c21\u5358\u306b\u5bfe\u5fdc\u3067\u304d\u308b\u305f\u3081\u3001\u5236\u7d04\u4ed8\u304d\u6700\u9069\u5316\u554f\u984c\u306b\u9069\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u9069\u5fdc\u578b\u63a2\u7d22<\/strong>: \u53d6\u5f97\u6a5f\u80fd\u306b\u3088\u308a\u9069\u5fdc\u7684\u306a\u63a2\u7d22\u304c\u53ef\u80fd\u306b\u306a\u308a\u3001\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u4e0d\u78ba\u5b9f\u306a\u9818\u57df\u3092\u63a2\u7d22\u3057\u306a\u304c\u3089\u3082\u6709\u671b\u306a\u9818\u57df\u306b\u96c6\u4e2d\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306e\u7a2e\u985e<\/h2>\n<p>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306f\u3001\u4f7f\u7528\u3055\u308c\u308b\u4ee3\u66ff\u30e2\u30c7\u30eb\u3084\u6700\u9069\u5316\u554f\u984c\u306e\u7a2e\u985e\u306a\u3069\u3001\u3055\u307e\u3056\u307e\u306a\u8981\u56e0\u306b\u57fa\u3065\u3044\u3066\u5206\u985e\u3067\u304d\u307e\u3059\u3002<\/p>\n<h3>\u4ee3\u7406\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304f:<\/h3>\n<ol>\n<li>\n<p><strong>\u30ac\u30a6\u30b9\u904e\u7a0b\u306b\u57fa\u3065\u304f\u30d9\u30a4\u30ba\u6700\u9069\u5316<\/strong>\u3053\u308c\u306f\u6700\u3082\u4e00\u822c\u7684\u306a\u30bf\u30a4\u30d7\u3067\u3042\u308a\u3001\u76ee\u7684\u95a2\u6570\u306e\u4e0d\u78ba\u5b9f\u6027\u3092\u6349\u3048\u308b\u305f\u3081\u306e\u4ee3\u66ff\u30e2\u30c7\u30eb\u3068\u3057\u3066\u30ac\u30a6\u30b9\u904e\u7a0b\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u30d9\u30fc\u30b9\u306e\u30d9\u30a4\u30ba\u6700\u9069\u5316<\/strong>: \u30ac\u30a6\u30b9\u904e\u7a0b\u3092\u30e9\u30f3\u30c0\u30e0 \u30d5\u30a9\u30ec\u30b9\u30c8\u306b\u7f6e\u304d\u63db\u3048\u3066\u3001\u76ee\u7684\u95a2\u6570\u3068\u305d\u306e\u4e0d\u78ba\u5b9f\u6027\u3092\u30e2\u30c7\u30eb\u5316\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30d9\u30a4\u30b8\u30a2\u30f3\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u57fa\u3065\u304f\u30d9\u30a4\u30b8\u30a2\u30f3\u6700\u9069\u5316<\/strong>\u3053\u306e\u30d0\u30ea\u30a2\u30f3\u30c8\u306f\u3001\u91cd\u307f\u306b\u30d9\u30a4\u30b8\u30a2\u30f3\u4e8b\u524d\u5206\u5e03\u3092\u6301\u3064\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3067\u3042\u308b\u30d9\u30a4\u30b8\u30a2\u30f3 \u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u4ee3\u66ff\u30e2\u30c7\u30eb\u3068\u3057\u3066\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h3>\u6700\u9069\u5316\u554f\u984c\u306b\u57fa\u3065\u304f:<\/h3>\n<ol>\n<li>\n<p><strong>\u5358\u4e00\u76ee\u7684\u30d9\u30a4\u30ba\u6700\u9069\u5316<\/strong>: \u5358\u4e00\u306e\u76ee\u7684\u95a2\u6570\u3092\u6700\u9069\u5316\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u591a\u76ee\u7684\u30d9\u30a4\u30ba\u6700\u9069\u5316<\/strong>: \u8907\u6570\u306e\u76f8\u53cd\u3059\u308b\u76ee\u7684\u3092\u6301\u3064\u554f\u984c\u306e\u305f\u3081\u306b\u8a2d\u8a08\u3055\u308c\u3066\u304a\u308a\u3001\u30d1\u30ec\u30fc\u30c8\u6700\u9069\u89e3\u306e\u30bb\u30c3\u30c8\u3092\u6c42\u3081\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306e\u4f7f\u7528\u65b9\u6cd5\u3001\u4f7f\u7528\u306b\u95a2\u9023\u3059\u308b\u554f\u984c\u3068\u305d\u306e\u89e3\u6c7a\u7b56\u3002<\/h2>\n<p>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306f\u3001\u305d\u306e\u6c4e\u7528\u6027\u3068\u52b9\u7387\u6027\u306b\u3088\u308a\u3001\u3055\u307e\u3056\u307e\u306a\u5206\u91ce\u3067\u5fdc\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u4e00\u822c\u7684\u306a\u4f7f\u7528\u4f8b\u306b\u306f\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u8abf\u6574<\/strong>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u6700\u9069\u5316\u3057\u3001\u305d\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3068\u4e00\u822c\u5316\u3092\u5411\u4e0a\u3055\u305b\u308b\u305f\u3081\u306b\u5e83\u304f\u4f7f\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30ed\u30dc\u30c3\u30c8\u5de5\u5b66<\/strong>\u30ed\u30dc\u30c3\u30c8\u5de5\u5b66\u3067\u306f\u3001\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306f\u3001\u628a\u6301\u3001\u7d4c\u8def\u8a08\u753b\u3001\u7269\u4f53\u64cd\u4f5c\u306a\u3069\u306e\u30bf\u30b9\u30af\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3068\u5236\u5fa1\u30dd\u30ea\u30b7\u30fc\u3092\u6700\u9069\u5316\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5b9f\u9a13\u8a08\u753b<\/strong>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306f\u3001\u9ad8\u6b21\u5143\u30d1\u30e9\u30e1\u30fc\u30bf\u7a7a\u9593\u5185\u306e\u30b5\u30f3\u30d7\u30eb\u30dd\u30a4\u30f3\u30c8\u3092\u52b9\u7387\u7684\u306b\u9078\u629e\u3059\u308b\u3053\u3068\u3067\u3001\u5b9f\u9a13\u306e\u8a2d\u8a08\u3092\u652f\u63f4\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3<\/strong>: \u79d1\u5b66\u304a\u3088\u3073\u5de5\u5b66\u5206\u91ce\u306b\u304a\u3051\u308b\u8907\u96d1\u306a\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3084\u8a08\u7b97\u30e2\u30c7\u30eb\u3092\u6700\u9069\u5316\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5275\u85ac<\/strong>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306f\u3001\u6f5c\u5728\u7684\u306a\u85ac\u7269\u5316\u5408\u7269\u3092\u52b9\u7387\u7684\u306b\u30b9\u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u3053\u3068\u3067\u3001\u5275\u85ac\u30d7\u30ed\u30bb\u30b9\u3092\u30b9\u30d4\u30fc\u30c9\u30a2\u30c3\u30d7\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306b\u306f\u6570\u591a\u304f\u306e\u5229\u70b9\u304c\u3042\u308a\u307e\u3059\u304c\u3001\u6b21\u306e\u3088\u3046\u306a\u8ab2\u984c\u3082\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u9ad8\u6b21\u5143\u6700\u9069\u5316<\/strong>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306f\u3001\u6b21\u5143\u306e\u546a\u3044\u306b\u3088\u308a\u3001\u9ad8\u6b21\u5143\u7a7a\u9593\u3067\u306f\u8a08\u7b97\u30b3\u30b9\u30c8\u304c\u9ad8\u304f\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30b3\u30b9\u30c8\u306e\u304b\u304b\u308b\u8a55\u4fa1<\/strong>: \u76ee\u7684\u95a2\u6570\u306e\u8a55\u4fa1\u306b\u975e\u5e38\u306b\u30b3\u30b9\u30c8\u304c\u304b\u304b\u3063\u305f\u308a\u3001\u6642\u9593\u304c\u304b\u304b\u308b\u5834\u5408\u3001\u6700\u9069\u5316\u30d7\u30ed\u30bb\u30b9\u306f\u975e\u73fe\u5b9f\u7684\u306b\u306a\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5c40\u6240\u6700\u9069\u5024\u3078\u306e\u53ce\u675f<\/strong>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306f\u30b0\u30ed\u30fc\u30d0\u30eb\u6700\u9069\u5316\u306e\u305f\u3081\u306b\u8a2d\u8a08\u3055\u308c\u3066\u3044\u307e\u3059\u304c\u3001\u63a2\u7d22\u3068\u6d3b\u7528\u306e\u30d0\u30e9\u30f3\u30b9\u304c\u9069\u5207\u306b\u8a2d\u5b9a\u3055\u308c\u3066\u3044\u306a\u3044\u5834\u5408\u306f\u3001\u30ed\u30fc\u30ab\u30eb\u6700\u9069\u5024\u306b\u53ce\u675f\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u3053\u308c\u3089\u306e\u8ab2\u984c\u3092\u514b\u670d\u3059\u308b\u305f\u3081\u306b\u3001\u5b9f\u8df5\u8005\u306f\u6b21\u5143\u524a\u6e1b\u3001\u4e26\u5217\u5316\u3001\u30b9\u30de\u30fc\u30c8\u53d6\u5f97\u95a2\u6570\u8a2d\u8a08\u306a\u3069\u306e\u624b\u6cd5\u3092\u63a1\u7528\u3059\u308b\u3053\u3068\u304c\u3088\u304f\u3042\u308a\u307e\u3059\u3002<\/p>\n<h2>\u4e3b\u306a\u7279\u5fb4\u3084\u305d\u306e\u4ed6\u306e\u985e\u4f3c\u7528\u8a9e\u3068\u306e\u6bd4\u8f03\u3092\u8868\u3084\u30ea\u30b9\u30c8\u306e\u5f62\u5f0f\u3067\u793a\u3057\u307e\u3059\u3002<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u7279\u6027<\/th>\n<th>\u30d9\u30a4\u30b8\u30a2\u30f3\u6700\u9069\u5316<\/th>\n<th>\u30b0\u30ea\u30c3\u30c9\u691c\u7d22<\/th>\n<th>\u30e9\u30f3\u30c0\u30e0\u691c\u7d22<\/th>\n<th>\u9032\u5316\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u30b0\u30ed\u30fc\u30d0\u30eb\u6700\u9069\u5316<\/td>\n<td>\u306f\u3044<\/td>\n<td>\u3044\u3044\u3048<\/td>\n<td>\u3044\u3044\u3048<\/td>\n<td>\u306f\u3044<\/td>\n<\/tr>\n<tr>\n<td>\u30b5\u30f3\u30d7\u30eb\u52b9\u7387<\/td>\n<td>\u9ad8\u3044<\/td>\n<td>\u4f4e\u3044<\/td>\n<td>\u4f4e\u3044<\/td>\n<td>\u4e2d\u304f\u3089\u3044<\/td>\n<\/tr>\n<tr>\n<td>\u9ad8\u4fa1\u306a\u8a55\u4fa1<\/td>\n<td>\u9069\u5207\u306a<\/td>\n<td>\u9069\u5207\u306a<\/td>\n<td>\u9069\u5207\u306a<\/td>\n<td>\u9069\u5207\u306a<\/td>\n<\/tr>\n<tr>\n<td>\u78ba\u7387\u7684\u8868\u73fe<\/td>\n<td>\u306f\u3044<\/td>\n<td>\u3044\u3044\u3048<\/td>\n<td>\u3044\u3044\u3048<\/td>\n<td>\u3044\u3044\u3048<\/td>\n<\/tr>\n<tr>\n<td>\u9069\u5fdc\u578b\u63a2\u7d22<\/td>\n<td>\u306f\u3044<\/td>\n<td>\u3044\u3044\u3048<\/td>\n<td>\u306f\u3044<\/td>\n<td>\u306f\u3044<\/td>\n<\/tr>\n<tr>\n<td>\u5236\u7d04\u3092\u51e6\u7406\u3059\u308b<\/td>\n<td>\u306f\u3044<\/td>\n<td>\u3044\u3044\u3048<\/td>\n<td>\u3044\u3044\u3048<\/td>\n<td>\u306f\u3044<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306b\u95a2\u3059\u308b\u5c06\u6765\u306e\u5c55\u671b\u3068\u6280\u8853\u3002<\/h2>\n<p>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306e\u5c06\u6765\u306f\u6709\u671b\u306b\u898b\u3048\u3001\u3044\u304f\u3064\u304b\u306e\u6f5c\u5728\u7684\u306a\u9032\u6b69\u3068\u6280\u8853\u304c\u8fd1\u3065\u3044\u3066\u3044\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u30b9\u30b1\u30fc\u30e9\u30d3\u30ea\u30c6\u30a3<\/strong>\u7814\u7a76\u8005\u305f\u3061\u306f\u3001\u9ad8\u6b21\u5143\u3067\u8a08\u7b97\u30b3\u30b9\u30c8\u306e\u9ad8\u3044\u554f\u984c\u3092\u3088\u308a\u52b9\u7387\u7684\u306b\u51e6\u7406\u3059\u308b\u305f\u3081\u306b\u3001\u30d9\u30a4\u30ba\u6700\u9069\u5316\u624b\u6cd5\u306e\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u306b\u7a4d\u6975\u7684\u306b\u53d6\u308a\u7d44\u3093\u3067\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u4e26\u5217\u5316<\/strong>\u4e26\u5217\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u3055\u3089\u306a\u308b\u9032\u6b69\u306b\u3088\u308a\u3001\u8907\u6570\u306e\u30dd\u30a4\u30f3\u30c8\u3092\u540c\u6642\u306b\u8a55\u4fa1\u3059\u308b\u3053\u3068\u3067\u30d9\u30a4\u30ba\u6700\u9069\u5316\u3092\u5927\u5e45\u306b\u52a0\u901f\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8ee2\u79fb\u5b66\u7fd2<\/strong>\u8ee2\u79fb\u5b66\u7fd2\u3068\u30e1\u30bf\u5b66\u7fd2\u306e\u6280\u8853\u306f\u3001\u4ee5\u524d\u306e\u6700\u9069\u5316\u30bf\u30b9\u30af\u304b\u3089\u306e\u77e5\u8b58\u3092\u6d3b\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306e\u52b9\u7387\u3092\u9ad8\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30d9\u30a4\u30b8\u30a2\u30f3\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af<\/strong>\u30d9\u30a4\u30b8\u30a2\u30f3 \u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306f\u3001\u4ee3\u66ff\u30e2\u30c7\u30eb\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u6a5f\u80fd\u3092\u6539\u5584\u3057\u3001\u4e0d\u78ba\u5b9f\u6027\u306e\u63a8\u5b9a\u3092\u5411\u4e0a\u3055\u305b\u308b\u53ef\u80fd\u6027\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u81ea\u52d5\u6a5f\u68b0\u5b66\u7fd2<\/strong>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306e\u81ea\u52d5\u5316\u3001\u30d1\u30a4\u30d7\u30e9\u30a4\u30f3\u306e\u6700\u9069\u5316\u3001\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u8abf\u6574\u306e\u81ea\u52d5\u5316\u306b\u304a\u3044\u3066\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3059\u3053\u3068\u304c\u671f\u5f85\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5f37\u5316\u5b66\u7fd2<\/strong>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u3068\u5f37\u5316\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u7d71\u5408\u3059\u308b\u3068\u3001RL \u30bf\u30b9\u30af\u3067\u306e\u3088\u308a\u52b9\u7387\u7684\u3067\u30b5\u30f3\u30d7\u30eb\u52b9\u7387\u306e\u9ad8\u3044\u63a2\u7d22\u304c\u53ef\u80fd\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u30d9\u30a4\u30ba\u6700\u9069\u5316\u3067\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3001\u307e\u305f\u306f\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306b\u95a2\u9023\u4ed8\u3051\u308b\u65b9\u6cd5\u3002<\/h2>\n<p>\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u3055\u307e\u3056\u307e\u306a\u65b9\u6cd5\u3067\u30d9\u30a4\u30ba\u6700\u9069\u5316\u3068\u5bc6\u63a5\u306b\u95a2\u9023\u4ed8\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u5206\u6563\u30d9\u30a4\u30ba\u6700\u9069\u5316<\/strong>: \u5730\u7406\u7684\u306b\u7570\u306a\u308b\u5834\u6240\u306b\u5206\u6563\u3057\u305f\u8907\u6570\u306e\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u4f7f\u7528\u3059\u308b\u5834\u5408\u3001\u30d9\u30a4\u30ba\u6700\u9069\u5316\u3092\u4e26\u5217\u5316\u3067\u304d\u308b\u305f\u3081\u3001\u53ce\u675f\u304c\u901f\u304f\u306a\u308a\u3001\u691c\u7d22\u7a7a\u9593\u306e\u63a2\u7d22\u304c\u6539\u5584\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3068\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3<\/strong>: \u76ee\u7684\u95a2\u6570\u306e\u8a55\u4fa1\u306b\u6a5f\u5bc6\u30c7\u30fc\u30bf\u3084\u79d8\u5bc6\u60c5\u5831\u304c\u542b\u307e\u308c\u308b\u5834\u5408\u3001\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u304c\u4ef2\u4ecb\u5f79\u3068\u3057\u3066\u6a5f\u80fd\u3057\u3001\u6700\u9069\u5316\u30d7\u30ed\u30bb\u30b9\u4e2d\u306e\u30c7\u30fc\u30bf\u306e\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3092\u78ba\u4fdd\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u504f\u898b\u3092\u907f\u3051\u308b<\/strong>: \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306e\u5834\u6240\u3084 IP \u30a2\u30c9\u30ec\u30b9\u306b\u57fa\u3065\u3044\u3066\u76ee\u7684\u95a2\u6570\u306e\u8a55\u4fa1\u304c\u504f\u3089\u306a\u3044\u3088\u3046\u306b\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30ed\u30fc\u30c9\u30d0\u30e9\u30f3\u30b7\u30f3\u30b0<\/strong>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u3092\u63a1\u7528\u3059\u308b\u3068\u3001\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3068\u8ca0\u8377\u5206\u6563\u3092\u6700\u9069\u5316\u3057\u3001\u30ea\u30af\u30a8\u30b9\u30c8\u306e\u51e6\u7406\u52b9\u7387\u3092\u6700\u5927\u5316\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u95a2\u9023\u30ea\u30f3\u30af<\/h2>\n<p>\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3001\u6b21\u306e\u30ea\u30bd\u30fc\u30b9\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<ol>\n<li><a href=\"https:\/\/scikit-optimize.github.io\/stable\/\" target=\"_new\" rel=\"noopener nofollow\">Scikit-Optimize \u30c9\u30ad\u30e5\u30e1\u30f3\u30c8<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/HIPS\/Spearmint\" target=\"_new\" rel=\"noopener nofollow\">\u30b9\u30da\u30a2\u30df\u30f3\u30c8: \u30d9\u30a4\u30ba\u6700\u9069\u5316<\/a><\/li>\n<li><a href=\"https:\/\/papers.nips.cc\/paper\/4522-practical-bayesian-optimization-of-machine-learning-algorithms.pdf\" target=\"_new\" rel=\"noopener nofollow\">\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u5b9f\u8df5\u7684\u306a\u30d9\u30a4\u30ba\u6700\u9069\u5316<\/a><\/li>\n<\/ol>\n<p>\u7d50\u8ad6\u3068\u3057\u3066\u3001\u30d9\u30a4\u30b8\u30a2\u30f3\u6700\u9069\u5316\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u306e\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u8abf\u6574\u304b\u3089\u30ed\u30dc\u30c3\u30c8\u5de5\u5b66\u3084\u5275\u85ac\u307e\u3067\u3001\u3055\u307e\u3056\u307e\u306a\u5206\u91ce\u3067\u5fdc\u7528\u3055\u308c\u3066\u3044\u308b\u5f37\u529b\u3067\u591a\u7528\u9014\u306a\u6700\u9069\u5316\u624b\u6cd5\u3067\u3059\u3002\u8907\u96d1\u306a\u691c\u7d22\u7a7a\u9593\u3092\u52b9\u7387\u7684\u306b\u63a2\u7d22\u3057\u3001\u30b3\u30b9\u30c8\u306e\u304b\u304b\u308b\u8a55\u4fa1\u3092\u51e6\u7406\u3067\u304d\u308b\u305f\u3081\u3001\u6700\u9069\u5316\u30bf\u30b9\u30af\u306b\u3068\u3063\u3066\u9b45\u529b\u7684\u306a\u9078\u629e\u80a2\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002\u6280\u8853\u304c\u9032\u6b69\u3059\u308b\u306b\u3064\u308c\u3066\u3001\u30d9\u30a4\u30b8\u30a2\u30f3\u6700\u9069\u5316\u306f\u3001\u6700\u9069\u5316\u3068\u81ea\u52d5\u5316\u3055\u308c\u305f\u6a5f\u68b0\u5b66\u7fd2\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306e\u672a\u6765\u3092\u5f62\u4f5c\u308b\u4e0a\u3067\u307e\u3059\u307e\u3059\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3059\u3053\u3068\u304c\u671f\u5f85\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u30d9\u30a4\u30b8\u30a2\u30f3\u6700\u9069\u5316\u3092\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3068\u7d71\u5408\u3059\u308b\u3068\u3001\u3055\u307e\u3056\u307e\u306a\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3001\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u3001\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u3055\u3089\u306b\u5f37\u5316\u3067\u304d\u307e\u3059\u3002<\/p>","protected":false},"featured_media":467702,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-475994","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Bayesian Optimization: Enhancing Efficiency and Precision<\/mark>","faq_items":[{"question":"What is Bayesian optimization?","answer":"<p>Bayesian optimization is an optimization technique used to find the best solution for complex and costly objective functions. It employs a probabilistic model, such as Gaussian Process, to approximate the objective function and iteratively selects points for evaluation to efficiently navigate the search space.<\/p>"},{"question":"How did Bayesian optimization originate?","answer":"<p>The concept of Bayesian optimization was first introduced by John Mockus in the 1970s. However, the term gained popularity in the 2000s when researchers began combining probabilistic modeling with global optimization techniques.<\/p>"},{"question":"How does Bayesian optimization work?","answer":"<p>Bayesian optimization consists of two main components: a surrogate model (often Gaussian Process) and an acquisition function. The surrogate model approximates the objective function, and the acquisition function guides the selection of the next point for evaluation based on the surrogate model's predictions and uncertainty estimates.<\/p>"},{"question":"What are the key features of Bayesian optimization?","answer":"<p>Bayesian optimization offers sample efficiency, global optimization capabilities, probabilistic representation, adaptive exploration, and the ability to handle user-defined constraints.<\/p>"},{"question":"What types of Bayesian optimization exist?","answer":"<p>There are different types of Bayesian optimization based on the surrogate model used and the optimization problem. Common types include Gaussian Process-based, Random Forest-based, and Bayesian Neural Networks-based Bayesian optimization. It can be used for both single-objective and multi-objective optimization.<\/p>"},{"question":"In what ways can Bayesian optimization be used?","answer":"<p>Bayesian optimization finds applications in hyperparameter tuning, robotics, experimental design, drug discovery, and more. It is valuable in scenarios where the objective function evaluations are expensive or time-consuming.<\/p>"},{"question":"What challenges does Bayesian optimization face?","answer":"<p>Bayesian optimization can be computationally expensive in high-dimensional spaces, and convergence to local optima may occur if the exploration-exploitation balance is not appropriately set.<\/p>"},{"question":"What technologies can enhance Bayesian optimization in the future?","answer":"<p>Future advancements in Bayesian optimization may include scalability, parallelization, transfer learning, Bayesian Neural Networks, automated machine learning, and integration with reinforcement learning algorithms.<\/p>"},{"question":"How can proxy servers be associated with Bayesian optimization?","answer":"<p>Proxy servers can be linked to Bayesian optimization by enabling distributed optimization, ensuring privacy and security during evaluations, avoiding bias, and optimizing the performance and load balancing of the proxy servers themselves.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/475994","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/475994\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media\/467702"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media?parent=475994"}],"curies":[{"name":"\u3046\u30fc\u3093","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}