<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Machine Learning on YuXuan Wu/HorikitaSaku</title><link>https://horikitasaku.github.io/jp/categories/machine-learning/</link><description>Recent content in Machine Learning on YuXuan Wu/HorikitaSaku</description><generator>Hugo 0.125.0</generator><language>jp</language><copyright>&amp;copy; 2023 &lt;a href="">Horikita Saku&lt;/a></copyright><lastBuildDate>Mon, 11 Sep 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://horikitasaku.github.io/jp/categories/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>有限差分法(FDA)とcosine_similarity</title><link>https://horikitasaku.github.io/jp/posts/fda-cosine-similarity/</link><pubDate>Mon, 11 Sep 2023 00:00:00 +0000</pubDate><guid>https://horikitasaku.github.io/jp/posts/fda-cosine-similarity/</guid><description>はじめに 簡単なものですが、何か書こうと思いました。 yamaさんはnishikaのコンペでNegative Cosine Similarity Lossについて言及し、それをlgbmのカ</description></item></channel></rss>