{"author_url":"https://blog.hatena.ne.jp/syou6162/","published":"2010-01-05 06:57:18","description":"\u30d7\u30ec\u30bc\u30f3\u306e\u8cc7\u6599\u304c\u3053\u3053\u306b\u7f6e\u3044\u3066\u3042\u3063\u305f\u3002SSL(Semi-Supervised Learning)\u3067\u30b0\u30e9\u30d5\u7406\u8ad6\u3092\u4f7f\u3063\u305f\u3082\u306e\u306b\u306f Mincut Discrete Markov Random Fields and Harmonic Functions Mainfold Regularization Graph Kernels from the Spectum of Laplacian \u306a\u3069\u306a\u3069\u304c\u3042\u308b(\u305d\u3057\u3066\u3001\u3069\u308c\u3082\u307e\u3060\u3088\u304f\u77e5\u3089\u306a\u3044!!)\u304c\u3001\u305d\u306eMincut\u306e\u6700\u521d\u306e\u3084\u3064\u3063\u307d\u3044\u3002Mincut\u3067SSL\u3092\u3084\u308d\u3046\u3068\u3044\u3046\u52d5\u6a5f\u4ed8\u3051\u3068\u3057\u3066\u306f \u304a\u4e92\u3044\u4f3c\u3066\u3044\u308c\u3070\u9ad8\u3044\u91cd\u307f\u4ed8\u3051\u304c\u3055\u308c\u3066\u308b\u3060\u308d\u3046\u3057\u3001\u304a\u4e92\u3044\u4f3c\u3066\u3044\u306a\u3051\u308c\u3070\u305d\u306e\u91cd\u307f\u2026","blog_url":"https://www.yasuhisay.info/","categories":["\u8ad6\u6587100\u672c\u30ce\u30c3\u30af","ICML","\u534a\u6559\u5e2b\u3042\u308a\u5b66\u7fd2"],"provider_name":"Hatena Blog","version":"1.0","url":"https://www.yasuhisay.info/entry/20100105/1262469438","height":"190","type":"rich","width":"100%","blog_title":"yasuhisa's blog","title":"#5 Learning from Labeled and Unlabeled Data using Graph Mincuts","image_url":"http://chart.apis.google.com/chart?cht=tx&chl=%5Cdelta","provider_url":"https://hatena.blog","author_name":"syou6162","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.yasuhisay.info%2Fentry%2F20100105%2F1262469438\" title=\"#5 Learning from Labeled and Unlabeled Data using Graph Mincuts - yasuhisa&#39;s blog\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>"}