{"provider_url":"https://hatena.blog","title":"arxiv","published":"2026-07-03 00:16:10","blog_title":"HTN20190109\u306e\u65e5\u8a18","provider_name":"Hatena Blog","author_url":"https://blog.hatena.ne.jp/HTN20190109/","width":"100%","categories":["DL"],"type":"rich","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhtn20190109.hatenablog.com%2Fentry%2F2026%2F07%2F03%2F001610\" title=\"arxiv - HTN20190109\u306e\u65e5\u8a18\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","url":"https://htn20190109.hatenablog.com/entry/2026/07/03/001610","image_url":null,"author_name":"HTN20190109","blog_url":"https://htn20190109.hatenablog.com/","description":"\u9806\u5e8f\u56de\u5e30 From RankNet to LambdaRank toLambdaMART:AnOverview https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/MSR-TR-2010-82.pdfXavier\u306e\u521d\u671f\u5024 Understanding the difficulty of training deep feedforward neural networks https://proceedings.mlr.press/v9/glorot10a/glorot10a.pdfHe\u306e\u521d\u671f\u5024 Delving De\u2026","height":"190","version":"1.0"}