learning summary fourth the

【scikit-learn基础】--『监督学习』之 LASSO回归

LASSO(Least Absolute Shrinkage and Selection Operator)回归模型一般都是用英文缩写表示,硬要翻译的话,可翻译为 最小绝对收缩和选择算子。 它是一种线性回归模型的扩展,其主要目标是解决高维数据中的特征选择和正则化问题。 1. 概述 在LASSO中,通 ......
scikit-learn 基础 scikit learn LASSO

初中英语优秀范文100篇-040My View on the Internet-网络之我见

初中英语优秀范文100篇-040My View on the Internet-网络之我见 PDF格式公众号回复关键字:SHCZFW040 记忆树 1 Now many of my classmates like to surf the Internet in their free time. 翻译 ......
范文 Internet 初中 网络 View

【五期李伟平】CCF-A(TMC'22)Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A Repeated Game Perspective

Zhang, Ning , Q. Ma , and X. Chen . "Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A Repeated Game Perspective." (2022). 针对重复执行跨筒仓联 ......

idea在build阶段出现错误以下错误:java: Internal error in the mapping processor: java.lang.NullPointerException,导致项目无法启动。

解决方案: 打开idea的File --> Setting --> Build,Execution,Deployment --> Compiler --> User-local build 加上参数: -Djps.track.ap.dependencies=false ......

完美解决SqlServer2012启动报错(cannot find one or more components.Please reinstall the application。)

原因:默认安装在C:\Program Files (x86)\Microsoft Visual Studio 10.0文件夹,以支持sql server2012.(我之前不小心把这个文件夹删除了)。 解决方案:下载了visual studio 2010 Isolated shell 完美解决问题,下 ......

[LeetCode] 2660. Determine the Winner of a Bowling Game

You are given two 0-indexed integer arrays player1 and player2, that represent the number of pins that player 1 and player 2 hit in a bowling game, re ......
Determine LeetCode Bowling Winner 2660

【五期李伟平】CCF-A(S&P'20)The Value of Collaboration in Convex Machine Learning with Differential Privacy

Nan W., et al. “The Value of Collaboration in Convex Machine Learning with Differential Privacy.” 2020 IEEE Symposium on Security and Privacy. 304-317 ......

PyQt报错:Cannot load backend 'Qt5Agg' which requires the 'qt5' interactive framework, as 'headless' is currently running

PyQt报错:Cannot load backend 'Qt5Agg' which requires the 'qt5' interactive framework, as 'headless' is currently running 问题描述 在远程链接ubuntu虚拟机进行开发时,报错。 解决 ......
39 interactive framework currently headless

jumpserver连接ecs实例报错:UNREACHABLE! => {"changed": false, "msg": "Failed to connect to the host via ssh: ssh_exchange_identification: Connection closed by remote host", "unreachable": true

报错分析思路: 1.是ssh密钥设置有没有对接 2.防火墙拦截问题 3.用户设置问题 4.sshd配置问题 问题解决: 无法与221.229.216.39端口35846进行协商:找不到匹配的主机密钥类型。他们提供的是:ssh-rsa、ssh-dss [preauth] 在sshd配置中加上ssh-r ......

【scikit-learn基础】--『监督学习』之 岭回归

岭回归(Ridge Regression)是一种用于处理共线性数据的线性回归改进方法。和上一篇用基于最小二乘法的线性回归相比,它通过放弃最小二乘的无偏性,以损失部分信息、降低精度为代价来获得更实际和可靠性更强的回归系数。 1. 概述 岭回归的模型对于存在大量相关特征(这些特征之间存在很高的相关性)的 ......
scikit-learn 基础 scikit learn

CF768G The Winds of Winter题解

我们考虑暴力咋做,每次得到一个森林之后,必定是从最大的树上摘一棵子树,挪到最小的树上,所以此时的答案为 \(max(siz_{mx}-x,siz_{mn}+x,siz_{次大值} )\),于是发现 \(x=\frac{siz_{mx}-siz_{mn}}{2}\) 时答案最优,所以只需找到这个值的前 ......
题解 Winter Winds 768G 768

[引]Power Automate Use variables and the % notation

Variable manipulation and the % notation - Power Automate | Microsoft Learn 变量操作和 % 表示法 - Power Automate | Microsoft Learn In this articleHardcoded va ......
variables Automate notation Power Use

解决报错: Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running?

这个错误表明 Docker 客户端无法与 Docker 守护程序通信。这可能有几种原因: Docker 守护程序未运行: 您需要确保 Docker 守护程序正在后台运行。可以使用以下命令来启动 Docker 守护程序: sudo service docker start 或者 sudo system ......
daemon docker the connect running

【scikit-learn基础】--『监督学习』之 线性回归

线性回归是一种用于连续型分布预测的机器学习算法。其基本思想是通过拟合一个线性函数来最小化样本数据和预测函数之间的误差。 1. 概述 常见的线性回归模型就是:\(f(x) = w_0+w_1x_1+w_2x_2+...+w_nx_n\)这样的一个函数。其中 \((w_1,w_2,...w_n)\)是模 ......
线性 scikit-learn 基础 scikit learn

POLIR-Int-Generative AI in 2024: The 6 most important consumer tech trends for next year

Generative AI in 2024: The 6 most important consumer tech trends for next year Qualcomm executives reveal key trends in AI, consumer technology and mo ......

强化学习研究方向(研究领域)现有的不足(短板、无法落地性) —— Why You (Probably) Shouldn’t Use Reinforcement Learning

外文原文: Why You (Probably) Shouldn’t Use Reinforcement Learning 地址: https://towardsdatascience.com/why-you-shouldnt-use-reinforcement-learning-163bae193 ......

致21岁的自己——May all the beauty be blessed.

[错峰跨年第一弹]长文预警,本文长达不知道多少字(本文同时发布于博客园)先说一下,博客园快要倒闭了233说起博客园又得提一嘴他的好朋友csdn,so f**k you csdn,盗我博客不得house每年到这个时候都是最忙的时候,期末周(月)加课设,画图画得焦头烂额,机械工程狗都不学。这一年倒是身体 ......
blessed beauty May all the

FLAC: Federated Learning with Autoencoder Compression and Convergence Guarantee-2022

目的:减少通信量(成本),例如VGGNet架构具有大约1.38亿个参数(4264 Mb) 方法:具有自动编码器压缩(Autoencoder Compression)且具有收敛保证(Convergence Guarantee);利用冗余信息(the redundant information)和FL的 ......

A novel local-global dependency deep learning model for soil mapping

程哥的一区文章 “A novel local-global dependency deep learning model for soil mapping” (Li 和 Zhang, 2022, pp. -) (pdf) 研究问题:“工 程 “ discrete” 特征不能反映环境协变量 之间 的相 ......

[论文阅读] Learning Component-Level and Inter-Class Glyph Representation for few-shot Font Generation

Pre title: Learning Component-Level and Inter-Class Glyph Representation for few-shot Font Generation accepted: ICME 2023 paper: https://ieeexplore.ie ......

kaggle Open Problems – Single-Cell Perturbations 1st & 2nd place solution summary

Leaderboard: https://www.kaggle.com/competitions/open-problems-single-cell-perturbations/leaderboard 2nd Solution: https://www.kaggle.com/competitions ......

Spring Security without the WebSecurityConfigurerAdapter

ENGINEERING | ELEFTHERIA STEIN-KOUSATHANA | FEBRUARY 21, 2022 | ... In Spring Security 5.7.0-M2 we deprecated the WebSecurityConfigurerAdapter, as we ......

How to Master the Popular DBSCAN Clustering Algorithm for Machine Learning

Overview DBSCAN clustering is an underrated yet super useful clustering algorithm for unsupervised learning problems Learn how DBSCAN clustering works ......

The 2022 ICPC Asia-East Continent Final Contest (EC-Final 2022)

比赛链接 没做完。 A. Coloring 有 \(n\) 个元素,第 \(i\) 个元素有价值 \(w_i\),颜色 \(c_i\)。给定 \(s\),初始时只有 \(c_s=1\),其余 \(c_i\) 均为 \(0\)。 可以进行任意操作:选择一个 \(1 \le i \le n\),花费 \ ......
Final 2022 Asia-East Continent EC-Final

SP2-0618: Cannot find the Session Identifier. Check PLUSTRACE role is enabled SP2-0611: Error enabling STATISTICS report

报错信息: SP2-0618: Cannot find the Session Identifier. Check PLUSTRACE role is enabledSP2-0611: Error enabling STATISTICS report 说明: Oracle下普通用户缺少set aut ......
Identifier STATISTICS SP2 PLUSTRACE enabling

【scikit-learn基础】--『预处理』之 缺失值处理

数据的预处理是数据分析,或者机器学习训练前的重要步骤。通过数据预处理,可以 提高数据质量,处理数据的缺失值、异常值和重复值等问题,增加数据的准确性和可靠性 整合不同数据,数据的来源和结构可能多种多样,分析和训练前要整合成一个数据集 提高数据性能,对数据的值进行变换,规约等(比如无量纲化),让算法更加 ......
缺失 scikit-learn 基础 scikit learn

How to permanently delete a file stored in GIT (both from the local and remote repositories)?

First run git filter-branch -f --index-filter "git rm -rf --cached --ignore-unmatch FOLDERNAME" -- --all Then shrink the .git folder rm -rf .git/refs/ ......

CF1178G The Awesomest Vertex

CF1178G The Awesomest Vertex 给定一棵根为 \(1\) 的有根树,每个节点有两个权值 \(a[i]\) 和 \(b[i]\) 。定义 \(R(v)\) 为 \(v\) 祖先的集合(包括自己),则一个节点 \(v\) 有多棒取决于其真棒程度,真棒程度是这样定义的: \[\l ......
Awesomest Vertex 1178G 1178 The
共1980篇  :4/66页 首页上一页4下一页尾页