<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[墨入水的博客]]></title><description><![CDATA[本硕计算数学，现统计系在读博士一枚]]></description><link>https://blog.youkuaiyun.com/virus1175</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; virus1175]]></copyright><item><title><![CDATA[在线提取维基百科Wikipedia文章页面及离线批处理Wikipedia XML Dump文件]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/150848319</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/150848319</guid><author>virus1175</author><pubDate>Tue, 26 Aug 2025 11:00:48 +0800</pubDate><description><![CDATA[本项目提供一个增强型 Wikipedia 概念条目抓取与摘要清洗脚本：支持多级回退策略 (wikipedia 库 →wikipediaapi → 直接网页 / REST 搜索)、智能标题匹配(精确/模糊判定)、摘要质量校验、内容结构化抽取、断点续跑(结果缓存)、统计输出与数据清洗(去噪、去引用标号、轻量LaTeX符号替换)。适合用于构建学术术语词典、知识图谱冷启动、LLM 领域语料补齐与教学概念集成。无需构建复杂爬虫即可稳健获取英文 Wikipedia 的首段知识性描述。]]></description><category></category></item><item><title><![CDATA[验证X-＞U＜-＞V＜-Y的条件独立性]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/149584832</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/149584832</guid><author>virus1175</author><pubDate>Wed, 23 Jul 2025 22:48:35 +0800</pubDate><description><![CDATA[【代码】验证X-＞U＜-＞V＜-Y的条件独立性。]]></description><category></category></item><item><title><![CDATA[排列矩阵生成DAG]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/146704702</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/146704702</guid><author>virus1175</author><pubDate>Sat, 29 Mar 2025 18:31:24 +0800</pubDate><description><![CDATA[【代码】排列矩阵生成DAG。]]></description><category></category></item><item><title><![CDATA[理解多元正态分布中指数项的精度矩阵（协方差逆矩阵）]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/145752201</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/145752201</guid><author>virus1175</author><pubDate>Thu, 20 Feb 2025 14:09:45 +0800</pubDate><description><![CDATA[1. 这个精度矩阵相对公平合理的应统一的方式衡量了变量间的关系，但是如果是公平合理的衡量变量间的关系，那么协方差本身就可以，那为什么又不是协方差矩阵，而是协方差矩阵的逆呢？3. 多元正态分布定义的时候用协方差矩阵描述了变量之间的方差/协方差，利用协方差的逆矩阵可以构造一种类似“解耦”的概念。2. 精度矩阵表征了变量之间的条件独立性，比协方差矩阵更好的衡量了变量之间的独立性关系。]]></description><category></category></item><item><title><![CDATA[推导将点映射到平面坐标系的计算公式]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/143469927</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/143469927</guid><author>virus1175</author><pubDate>Sun, 03 Nov 2024 20:09:49 +0800</pubDate><description><![CDATA[【代码】推导将点映射到平面坐标系的计算公式。]]></description><category></category></item><item><title><![CDATA[Linux服务器单个大文件上传内存限制修改]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/140671051</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/140671051</guid><author>virus1175</author><pubDate>Wed, 24 Jul 2024 19:04:52 +0800</pubDate><description><![CDATA[添加:</Directory>修改:]]></description><category></category></item><item><title><![CDATA[计算社保养老金]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/140001835</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/140001835</guid><author>virus1175</author><pubDate>Thu, 27 Jun 2024 01:21:15 +0800</pubDate><description><![CDATA[社保缴费基数：x，职工上一年度1月至12月的所有工资性收入所得的月平均值（有的企业不按照职工上年度工资确定，直接按照当地最低的60%确定。最近关注到社保养老金，总结一下社保养老金的计算公式。社会平均工资：a，全市上年度职工1月至12月平均工资。年度缴费指数：x/a。]]></description><category></category></item><item><title><![CDATA[论文图片颜色提取]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/139638708</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/139638708</guid><author>virus1175</author><pubDate>Wed, 12 Jun 2024 23:05:50 +0800</pubDate><description><![CDATA[颜色代码：#BEAED4     190,174,212。颜色代码：#C4CBCB   196,203,203。颜色代码：#8F43AD   143,67,173。颜色代码：#16A085   22,160,133。颜色代码：#2980B9   41,128,185。颜色代码：#00ECEC   0,236,236。颜色代码：#0088E8   0,136,232。]]></description><category></category></item><item><title><![CDATA[2024暑期实习投递记录]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/139130117</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/139130117</guid><author>virus1175</author><pubDate>Wed, 22 May 2024 21:30:49 +0800</pubDate><description><![CDATA[1. 百度管培生夏令营 2025管培生实习计划

目前做了两次海笔就没消息了

2. OPPO公司

面试共享屏幕现场写代码，菜的一批不会，后面没联系我了

3. 华为2012中央研究院

目前已经做完测评

4. 荣耀机器学习工程师

目前已经做完测评

5. 腾讯数据分析

收了个简历做了个测评现在没消息
]]></description><category></category></item><item><title><![CDATA[找到包含两/三个平面坐标点的椭圆点集]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/136194168</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/136194168</guid><author>virus1175</author><pubDate>Tue, 20 Feb 2024 16:53:52 +0800</pubDate><description><![CDATA[由于有需求将2/3个点用椭圆包住，所以设计了一个函数，对于任意2/3个点，可以找到椭圆的坐标。]]></description><category></category></item><item><title><![CDATA[统计检验里的显著是什么意思？]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/133175105</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/133175105</guid><author>virus1175</author><pubDate>Fri, 22 Sep 2023 16:16:13 +0800</pubDate><description><![CDATA[显著(significance)等价于。]]></description><category></category></item><item><title><![CDATA[国内国产数学公式识别软件对比]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/132626130</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/132626130</guid><author>virus1175</author><pubDate>Fri, 01 Sep 2023 16:14:43 +0800</pubDate><description><![CDATA[官网目前超级公式最好用。]]></description><category></category></item><item><title><![CDATA[VS Code调试C/C++ F10(Stop Over)打开 crtexe.c解决方法]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/129899537</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/129899537</guid><author>virus1175</author><pubDate>Sat, 01 Apr 2023 16:55:57 +0800</pubDate><description><![CDATA[步进调试到main()函数最后一行下面的反括号 '}‘ 时打开crtexe.c文件。控制台 cd 进入到..\mingw64\lib目录下，输入回车。msys64中的mingw64编译。]]></description><category></category></item><item><title><![CDATA[Windows成功安装pygraphviz]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/129624366</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/129624366</guid><author>virus1175</author><pubDate>Fri, 17 Mar 2023 17:02:19 +0800</pubDate><description><![CDATA[安装下载Graphviz, Windows版本随便下载一个安装就可以了，可以选最新版本。4.安装完成，共计前3步。]]></description><category></category></item><item><title><![CDATA[LeetCode 2. 两数相加 完整C++代码]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/125941989</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/125941989</guid><author>virus1175</author><pubDate>Sat, 23 Jul 2022 00:03:27 +0800</pubDate><description><![CDATA[LeetCode 2. 两数相加 完整C++代码，含文本输入，数字提取，创建、显示链表等步骤]]></description><category></category></item><item><title><![CDATA[LeetCode 1. 两数之和 完整C++代码]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/125909096</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/125909096</guid><author>virus1175</author><pubDate>Thu, 21 Jul 2022 11:39:02 +0800</pubDate><description><![CDATA[LeetCode 1. 两数之和 完整C++代码，含文本处理提取数字功能]]></description><category></category></item><item><title><![CDATA[Preferential attachment mechanism 是什么？]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/122912238</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/122912238</guid><author>virus1175</author><pubDate>Sun, 13 Feb 2022 18:30:03 +0800</pubDate><description><![CDATA[Preferential attachment mechanism，中文直译：优先依附机制]]></description><category></category></item><item><title><![CDATA[Latex并排显示两张图片]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/122291779</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/122291779</guid><author>virus1175</author><pubDate>Mon, 03 Jan 2022 20:10:15 +0800</pubDate><description><![CDATA[Latex并排显示两张图]]></description><category></category></item><item><title><![CDATA[创建Python虚拟环境]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/121420859</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/121420859</guid><author>virus1175</author><pubDate>Fri, 19 Nov 2021 13:48:39 +0800</pubDate><description><![CDATA[创建Python虚拟环境]]></description><category></category></item><item><title><![CDATA[机器学习指标]]></title><link>https://blog.youkuaiyun.com/virus1175/article/details/113834640</link><guid>https://blog.youkuaiyun.com/virus1175/article/details/113834640</guid><author>virus1175</author><pubDate>Wed, 17 Feb 2021 16:01:10 +0800</pubDate><description><![CDATA[老是忘记，总结一下

召回率（Recall）：Re = TP / (TP+FN)

敏感度（Sensitivity）：SE = TP / (TP+FN)

真阳性率（True Positive Rate）：TPR = TP / (TP + FN)

上面仨一样

特异性（Specificity）：SP = TN / (FP+TN)

真阴性率（True Negative Rate）：TNR= TN / (FP + TN)

上面俩一样

精确率（Precision）：Pr = TP / (TP + FP)
]]></description><category></category></item></channel></rss>