{"id":3710,"date":"2022-12-30T12:14:31","date_gmt":"2022-12-30T11:14:31","guid":{"rendered":"http:\/\/nextbrain.ai\/?page_id=3710"},"modified":"2024-03-18T13:29:11","modified_gmt":"2024-03-18T12:29:11","slug":"synthetic-data-for-machine-learning","status":"publish","type":"page","link":"https:\/\/nextbrain.ai\/ja\/synthetic-data-for-machine-learning","title":{"rendered":"\u6a5f\u68b0\u5b66\u7fd2\u306e\u305f\u3081\u306e\u5408\u6210\u30c7\u30fc\u30bf"},"content":{"rendered":"
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\u5408\u6210\u30c7\u30fc\u30bf\u3068\u306f\u4f55\u3067\u3059\u304b\uff1f<\/h2>\n
\u5408\u6210\u30c7\u30fc\u30bf\u3068\u306f\u3001\u7d71\u8a08\u7684\u306b\u8a18\u8ff0\u7684\u306a\u7279\u5fb4\u3092\u4fdd\u6301\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u3066\u3001\u5b9f\u969b\u306e\u30b1\u30fc\u30b9\u304b\u3089\u4eba\u5de5\u7684\u306b\u751f\u6210\u3055\u308c\u305f\u30b5\u30f3\u30d7\u30eb\u3092\u6307\u3057\u307e\u3059\u3002\u5408\u6210\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f\u3001\u30c7\u30fc\u30bf\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3092\u4fdd\u8b77\u3059\u308b\u305f\u3081\u3084\u3001\u5143\u306e\u30c7\u30fc\u30bf\u3088\u308a\u3082\u591a\u304f\u306e\u30b5\u30f3\u30d7\u30eb\u3092\u6301\u3064\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u751f\u6210\u3059\u308b\u305f\u3081\u306b\u3001\u5b9f\u30c7\u30fc\u30bf\u3092\u7f6e\u304d\u63db\u3048\u308b\u3053\u3068\u3092\u76ee\u6307\u3057\u3066\u3044\u307e\u3059\u3002\u5408\u6210\u30c7\u30fc\u30bf\u306f\u4f5c\u308a\u7269\u306e\u30c7\u30fc\u30bf\u3067\u306f\u306a\u304f\u3001\u5fa9\u5143\u3055\u308c\u305f\u753b\u50cf\u304c\u65b0\u3057\u3044\u753b\u50cf\u3067\u306a\u3044\u306e\u3068\u540c\u69d8\u3067\u3059\u3002\u5408\u6210\u30c7\u30fc\u30bf\u3092\u5206\u6790\u3059\u308b\u3053\u3068\u3067\u3001\u5b9f\u30c7\u30fc\u30bf\u3067\u306f\u660e\u3089\u304b\u3067\u306a\u3044\u30d1\u30bf\u30fc\u30f3\u3092\u767a\u898b\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u305f\u3068\u3048\u3070\u3001\u89e3\u50cf\u5ea6\u306e\u4f4e\u3044\u753b\u50cf\u304c\u3042\u308a\u3001\u53f3\u4e0b\u9685\u306b\u660e\u78ba\u306b\u7279\u5b9a\u3067\u304d\u306a\u3044\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u304c\u3042\u308b\u5834\u5408\u3001\u5fa9\u5143\u30c4\u30fc\u30eb\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u305d\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u304c\u72ac\u3067\u3042\u308b\u3053\u3068\u3092\u8a8d\u8b58\u3067\u304d\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002\u540c\u69d8\u306b\u3001\u5408\u6210\u30c7\u30fc\u30bf\u751f\u6210\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u5143\u306e\u30c7\u30fc\u30bf\u3067\u306f\u660e\u78ba\u3067\u306a\u3044\u5834\u5408\u3067\u3082\u3001\u8868\u5f62\u5f0f\u30c7\u30fc\u30bf\u5185\u306e\u5909\u6570\u9593\u306e\u95a2\u4fc2\u306e\u6027\u8cea\u3092\u7406\u89e3\u3059\u308b\u624b\u52a9\u3051\u3092\u3057\u3066\u304f\u308c\u307e\u3059\u3002<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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 <\/span>\u306a\u305c\u5408\u6210\u30c7\u30fc\u30bf\u306fNextBrain\u306b\u3068\u3063\u3066\u91cd\u8981\u306a\u306e\u304b\uff1f<\/h2><\/div>
\n
\u6a5f\u68b0\u5b66\u7fd2\u6280\u8853\u3092\u591a\u304f\u306e\u30e6\u30fc\u30b6\u30fc\u306b\u666e\u53ca\u3055\u305b\u308b\u4e0a\u3067\u306e\u4e3b\u306a\u969c\u58c1\u306f\u30c7\u30fc\u30bf\u3067\u3059\u3002\u52b9\u679c\u7684\u3067\u3042\u308b\u305f\u3081\u306b\u306f\u3001\u3053\u308c\u3089\u306e\u6280\u8853\u306f\u591a\u91cf\u306e\u30c7\u30fc\u30bf\u3092\u8981\u6c42\u3057\u307e\u3059\u3002\u6b63\u78ba\u306a\u4e88\u6e2c\u3092\u5f97\u308b\u305f\u3081\u306b\u3001\u5206\u985e\u307e\u305f\u306f\u56de\u5e30\u554f\u984c\u3092\u89e3\u6c7a\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u308b\u307b\u3068\u3093\u3069\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u5927\u91cf\u306e\u30c7\u30fc\u30bf\u3092\u5fc5\u8981\u3068\u3057\u307e\u3059\u3002\u3057\u304b\u3057\u3001\u3059\u3079\u3066\u306e\u30e6\u30fc\u30b6\u30fc\u304c\u300c\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u300d\u3068\u3057\u3066\u77e5\u3089\u308c\u308b\u5927\u91cf\u306e\u30c7\u30fc\u30bf\u306b\u30a2\u30af\u30bb\u30b9\u3067\u304d\u308b\u308f\u3051\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u9006\u306b\u3001\u30d3\u30b8\u30cd\u30b9\u306e\u4e16\u754c\u3084\u5c02\u9580\u7684\u306a\u6d3b\u52d5\u3001\u5b66\u8853\u754c\u306b\u304a\u3044\u3066\u3082\u3001\u5927\u591a\u6570\u306e\u30e6\u30fc\u30b6\u30fc\u306f\u9650\u3089\u308c\u305f\u91cf\u306e\u30c7\u30fc\u30bf\u3092\u6271\u3063\u3066\u3044\u307e\u3059\u3002\u30c7\u30fc\u30bf\u3078\u306e\u30a2\u30af\u30bb\u30b9\u306f\u9ad8\u30b3\u30b9\u30c8\u3067\u6642\u9593\u304c\u304b\u304b\u308a\u307e\u3059\u3002 <\/div>\n
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   NextBrain\u3067\u306f\u3001Wasserstein GAN\uff08Arjovsky et al, 2017\uff09\u306b\u57fa\u3065\u3044\u305f\u72ec\u81ea\u306eGAN\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3092\u30ea\u30ea\u30fc\u30b9\u3057\u307e\u3057\u305f\u3002\u975e\u5e38\u306b\u5c11\u6570\u306e\u30b5\u30f3\u30d7\u30eb\u3067\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u305f\u3081\u306b\u9069\u3057\u305f\u7279\u5225\u306a\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3092\u958b\u767a\u3057\u307e\u3057\u305f\u3002 <\/div>\n<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u00a0\u5408\u6210\u30c7\u30fc\u30bf\u751f\u6210\u306b\u304a\u3044\u3066\u6700\u3082\u91cd\u8981\u306a\u30b9\u30c6\u30c3\u30d7\u306f\u3001\u5b9f\u30c7\u30fc\u30bf\u3068\u306e\u985e\u4f3c\u6027\u3084\u300c\u8fd1\u3055\u300d\u3092\u78ba\u8a8d\u3059\u308b\u3053\u3068\u3067\u3059\u3002NextBrain\u3067\u306f\u3001\u5408\u6210\u30c7\u30fc\u30bf\u304c\u81ea\u4fe1\u3092\u6301\u3063\u3066\u30aa\u30ea\u30b8\u30ca\u30eb\u30c7\u30fc\u30bf\u30b5\u30f3\u30d7\u30eb\u3092\u7f6e\u304d\u63db\u3048\u3089\u308c\u308b\u3053\u3068\u3092\u78ba\u304b\u3081\u308b\u305f\u3081\u306b\u3001\u3053\u306e\u6bd4\u8f03\u3092\u884c\u3046\u6700\u5148\u7aef\u306e\u30c4\u30fc\u30eb\u3092\u958b\u767a\u3059\u308b\u305f\u3081\u306b\u5927\u304d\u306a\u52aa\u529b\u3092\u3057\u3066\u3044\u307e\u3059 (Marin, J., 2022)\u3002\u00a0\u00a0<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\u00a0 \u00a0 Arjovsky, M., Chintala, S., & Bottou, L. (2017). Wasserstein\u751f\u6210\u5bfe\u6297\u30cd\u30c3\u30c8\u30ef\u30fc\u30af. \u56fd\u969b\u6a5f\u68b0\u5b66\u7fd2\u4f1a\u8b70, 214\u2013223.<\/div>
\u00a0 \u00a0Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., & Bengio, Y. et al. (2014). Generative adversarial nets. Advances in neural information processing systems, 27.<\/div>
\u00a0 \u00a0\u30de\u30ea\u30f3, J. (2022). \u5408\u6210\u30bf\u30d6\u30e9\u30fc\u30c7\u30fc\u30bf\u8a55\u4fa1\u306b\u95a2\u3059\u308b\u5b9f\u9a13\u7684\u7814\u7a76. arXiv \u30d7\u30ec\u30d7\u30ea\u30f3\u30c8 arXiv:2211.10760. \u30a2\u30eb\u30b8\u30e7\u30d5\u30b9\u30ad\u30fc, M., \u30c1\u30f3\u30bf\u30e9, S., &\u00a0<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

What is\u00a0synthetic data? Synthetic data refers to artificially generated samples from real cases with the goal of retaining statistically descriptive features. A synthetic dataset aims […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-3710","page","type-page","status-publish","hentry"],"yoast_head":"\nSynthetic Data for Machine Learning - NextBrain AI<\/title>\n<meta name=\"description\" content=\"Discover the power of synthetic data for machine learning with NextBrain AI. 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