classification classifiers hundreds problems
解决前端启动报错:This is probably not a problem with npm. There is likely additional logging output above.
在执行 npm run dev 运行项目的时候报错: {"os":"darwin","arch":"any"} (current: {"os":"win32","arch":"x64"}) npm ERR! code ELIFECYCLE npm ERR! errno 1 npm ERR! phan ......
COMP20007 Task 2: C Problem
Task 2: C ProblemAssignment 1GeneralTask 1: AlgorithmicDesignTask 2: C ProblemAssignment SubmissionAcademic HonestyLate PolicyRequirements: CProgrammi ......
UCUP-ZJ M. Minimum Element Problem
题意 给定一个位置x,求在$p_x$分别取1-n的所有情况下,对应笛卡尔树不同的排列个数。 题解 先不考虑$p_x$,列出转移式,发现是卡特兰数。 进一步地,可以把排列对应笛卡尔树意义下的不同构数,和二叉树不同构数等价联系起来:因为对于任何一个二叉树,按照中序遍历在上面填1-n,就可以唯一确定一个排 ......
What is X/Y problem?
X/Y problem means you have a problem X, you think you should solve another problem Y to solve the original problem X, you ask people for help you solv ......
Perceptron, Support Vector Machine and Dual Optimization Problem (3)
Support Vector Machines Perceptron and Linear Separability 假设存在一个 linear decision boundary,它可以完美地对 training dataset 进行分割。 那么,经由上述 Perceptron Algorithm ......
P1865 A % B Problem
P1865 A % B Problem 题目链接 题意简述 求区间 $[l,r]$ 内质数的个数 解析 前置知识: 素数判断 / 素数筛法 前缀和 质数是指在大于 $1$ 的自然数中,除了 $1$ 和它本身以外不再有其他因子的自然数。 一层循环判断 $2\sim n-1$ 的每一个数是否是它的因子 ......
Problem Y: Understanding Used Sailboat Prices
Like many luxury goods, sailboats vary in value as they age and as market conditions change. The attached “2023_MCM_Problem_Y_Boats.xlsx” file include ......
Problem Z: The Future of the Olympics
Background The International Olympic Committee (IOC) is facing a decreasing number of bids to host the Olympics – both Summer and Winter Games[1]. In ......
Perceptron, Support Vector Machine and Dual Optimization Problem (1)
Linear Decision Boundary(线性决策边界) Example. (classification problem) 给定一个二元的特征空间 $\mathcal{X} = \left{ \text{weight} \times \text{height} \right}$,对标签 $ ......
Unable to start the daemon process . This problem might be caused by incorrect configuration of the daemon. For example, an unrecognized jvm option is used.
创建springboot项目的时候报这个错 是因为你选择了Gradle环境 但是你本地没有这个Gradle环境 选择maven环境就可以了 ......
转)关于逆问题(inverse problem)的阅读名单
【注1】虽然咱不看这方面的内容,但是既然莫名其妙地下了这么个东西,就想着不能扔了,至少留一份于***当中。 【注2】简单排版,但并未校正,无法保证质量。 【注3】与原文不同,这里按照Mx做了重排,排法类似于大名鼎鼎的冒泡排序,故而more不保证质量。 A Reading List in Invers ......
Andew Ng --ML --Softmax Function (Multiclass Classification) -- Optional Lab
Optional Lab - Softmax Function¶ In this lab, we will explore the softmax function. This function is used in both Softmax Regression and in Neural Net ......
org.springframework.dao.TransientDataAccessResourceException: Error attempting to get column 'classification' from result set. Cause: java.sql.SQLException: Invalid value for getInt()
问题:mybatis查询的时候,始终报这个错。我看了字段,应该是ClickNumber是Integer,为什么会报classification的问题。我试了几种方式,但是还是有这个问题。 包括使用resultMap来进行返回。 晚上看了很多方法,包括Druid版本啊,参数名不一致啊,lombok注解 ......
assembly of tiny problems I come across when using Ubuntu
1. flameshot couldn't work properly. after running, it doesn't act to enable selecting area as expected, but pop out a frame and I need to click 'shar ......
《Spectral–Spatial Morphological Attention Transformer for Hyperspectral Image Classification》论文笔记
论文作者:Swalpa Kumar Roy, Ankur Deria, Chiranjibi Shah, et al. 论文发表年份:2023 模型简称:morphFormer 发表期刊:IEEE Transactions on Geoscience and Remote Sensing 论文代码: ......
Paper Reading: XRRF — An eXplainable Reasonably Randomised Forest algorithm for classification and regression problems
本文提出了一种 XRRF 算法,它通过执行本文提出的 SGFL 和 RRF 算法来得到可解释性、准确性和可解释性之间的权衡。随后引入了基于决策路径特征提取的方法,根据具体的应用解释模型的输出。其中 SGFL 能确定有助于模型准确性的特征,同时保持特征关系的可靠性。RRF 算法则通过利用所提出的改进随... ......
Graph Classification mini-batch 训练方法
参考资料 colab教程 PyTorch Geometric opts for another approach to achieve parallelization across a number of examples. Here, adjacency matrices are stacked ......
使用PHP curl请求https的时候出现错误“SSL certificate problem: self signed certificate in certificate chain”
https://www.likecs.com/show-305773892.html ......
Easy-Classification-验证码识别
1.背景 Easy-Classification是一个应用于分类任务的深度学习框架,它集成了众多成熟的分类神经网络模型,可帮助使用者简单快速的构建分类训练任务。 案例源代码 Easy-Classification框架设计 本例基于Easy-Classification框架,快速搭建一个验证码识别训练 ......
Easy-Classification-分类框架设计
1. 框架介绍 Easy-Classification是一个应用于分类任务的深度学习框架,它集成了众多成熟的分类神经网络模型,可帮助使用者简单快速的构建分类训练任务。 框架源代码:https://github.com/wuya11/easy-classification 1.1 框架功能 1.1.1 ......