Based

Paper Reading: Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification Problems

针对欠采样方法会丢弃大量多数类样本导致信息缺失的问题,本文提出了基于哈希的欠采样集成 HUE 模型,它利用 Bagging 和多数类样本的分布特征来构建多样化的训练子集。首先 HUE 通过散列将大多数类样本划分为不同的特征子空间,然后使用所有少数样本和主要从同一哈希子空间中提取的部分多数样本来构建训... ......

支持 range-based for 循环的链式前向星模板

众所周知,OI 中图的存储主要有两种方式:使用 std::vector 实现的邻接表,以及链式前向星。前者的常数较大,有时候会出现卡不过去的情况,但是支持 range-based for 循环,遍历的时候代码更简洁。可不可以在使用链式前向星的同时,使用 range-based for 循环呢?如以下 ......
range-based 模板 range based for

SAML-based SSO Flow

## 概念 SAML: Security Assertion Markup Language SSO: single sign-on SP: Service Provider IdP: Identity provider UA:User Agent (Browser) ## SP-Initiated ......
SAML-based based SAML Flow SSO

A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis

摘要 基于方面的情感分析(ABSA)由于其广泛的应用,近年来受到了越来越多的关注。在现有的ABSA数据集中,大多数句子只包含一个或多个具有相同情感极性的方面,这使得ABSA任务退化为句子级情感分析。在本文中,我们提出了一个新的大规模多方面多情感(MAMS)数据集,其中每个句子至少包含两个具有不同情感 ......

sql-labs--Less-1--Error based-Single quotes

sql\="SELECT \* FROM users WHERE id\='id' LIMIT 0,1"; 打开第一关,我们看到如下界面,上面写着Please input the ID as parameter with numeric value,它的意思是让我们请输入ID作为带有数值的参数。 h ......
based-Single sql-labs Single quotes Error

Future - github - AI based cloud IDE

![](https://img2023.cnblogs.com/blog/859364/202308/859364-20230830165443431-1313477148.png) ![](https://img2023.cnblogs.com/blog/859364/202308/859364- ......
Future github based cloud IDE

基于方面的情感分析的深度上下文和关系感知学习 Deep Context- and Relation-Aware Learning for Aspect-based Sentiment Analysis (ACL2021)

论文对方面级情感分析的三个任务提出了一个解决方案,三个任务共享编码层,通过简单的全连接层进行方面词和观点词的提取,情感分析任务首先做一个自注意力,之后分别与方面词和观点词提取的特征向量做互注意力,通过全连接层进行情感分类。另外,模型还设计了两个子任务,第一个将句子中的词屏蔽,预测这个词属于方面词、观 ......

Codeforces Round 844 (Div. 1 + Div. 2, based on VK Cup 2022 - Elimination Round)

## **A. Parallel Projection** 长方体的高是一定会走的,那么只要考虑是如何走哪个侧面,枚举四种情况即可。 ```cpp void solve(){ int n=read(),m=read(),h=read(); int a=read(),b=read(),c=read() ......
Round Elimination Codeforces Div based

论文解读(PERL)《PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models》

Note:[ wechat:Y466551 | 可加勿骚扰,付费咨询 ] 论文信息 论文标题:PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models论文作者:Eyal Ben-D ......

论文解读(CTDA)《Contrastive transformer based domain adaptation for multi-source cross-domain sentiment classification》

Note:[ wechat:Y466551 | 可加勿骚扰,付费咨询 ] 论文信息 论文标题:Contrastive transformer based domain adaptation for multi-source cross-domain sentiment classification论 ......

a build cache key that uniquely defines the task’s outputs based on its inputs

Build Cache https://docs.gradle.org/current/userguide/build_cache.html The Gradle build cache is a cache mechanism that aims to save time by reusing o ......
uniquely defines outputs inputs build

论文解读(CBL)《CNN-Based Broad Learning for Cross-Domain Emotion Classification》

Note:[ wechat:Y466551 | 付费咨询,非诚勿扰 ] 论文信息 论文标题:CNN-Based Broad Learning for Cross-Domain Emotion Classification论文作者:Rong Zeng, Hongzhan Liu , Sancheng ......

Paper Reading: A pareto-based ensemble of feature selection algorithms

本文将集成特征选择问题建模为具有两个目标的帕累托优化问题,提出一种类型的异构集成特征选择算法 PEFS。首先采用两种聚合方法对四种不同 FS 方法得到的结果进行组合,接着使用双目标优化来评估这些结果,最后根据非优势特征在双目标空间中的拥挤距离进行排序。该方法平衡了关联度和冗余性两种不同的 FS 方法... ......

堆优化模拟退火(List-Based Simulated Annealing|List-Based SA|LBSA|模拟退火) 算法

# 堆优化模拟退火(List-Based Simulated Annealing) 算法 ## 引入 堆优化模拟退火(List-Based Simulated Annealing,简称 LBSA) 是一种对 [模拟退火](https://oi-wiki.org/misc/simulated-anne ......
List-Based Based List 算法 Annealing

MDC-based Angular Material组件迁移

## 1. 前言 在 Angular Material v15 中,许多组件已基于官方的 Web Material Design Components (MDC) 进行了重构。 以下导入的组件已被重构: | Import path | Summary of changes | | : | : | | ......
组件 MDC-based Material Angular based

[论文阅读] 颜色迁移-Illuminant Aware Gamut-Based

## [论文阅读] 颜色迁移-Illuminant Aware Gamut-Based 文章: [[Illuminant Aware Gamut-Based Color Transfer](https://onlinelibrary.wiley.com/doi/10.1111/cgf.12500)] ......
Gamut-Based Illuminant 颜色 论文 Aware

简读||Dynamic Metasurface Antennas Based Downlink Massive MIMO Systems

原文链接:Dynamic Metasurface Antennas Based Downlink Massive MIMO Systems | IEEE Conference Publication | IEEE Xplore 基于动态超表面天线的下行链路大规模MIMO系统 摘要:大规模多输入多输出 ......

A Novel Noise Injection-based Training Scheme for Better Model Robustness

郑重声明:原文参见标题,如有侵权,请联系作者,将会撤销发布! https://arxiv.org/abs/2302.10802 ......

Improved deep reinforcement learning for robotics through distribution-based experience retention

![](https://img2023.cnblogs.com/blog/1428973/202307/1428973-20230729080850680-1663030080.png) **发表时间:**2016(IROS 2016) **文章要点:**这篇文章提出了experience repl ......

论文翻译(扩散模型来了):Diffusion-Based Mel-Spectrogram Enhancement for Personalized Speech Synthesis with Found Data

利用发现的数据来创建合成声音是具有挑战性的,因为现实世界的录音通常包含各种类型的音频退化。解决这个问题的一种方法是使用增强模型对语音进行预增强,然后使用增强后的数据进行文本转语音(TTS)模型训练。本论文研究了使用条件扩散模型进行广义语音增强,旨在同时解决多种类型的音频退化。增强是在对数Mel频谱领 ......

How to Restore ASM Based OCR when OCR backup is located in ASM diskgroup? (Doc ID 2569847.1)

In this Document Goal Solution References APPLIES TO: Oracle Database - Enterprise Edition - Version 12.2.0.1 and later Information in this document a ......
ASM 2569847.1 OCR diskgroup 2569847

How to Restore ASM Based OCR After Complete Loss of the CRS Diskgroup on Linux/Unix Systems (Doc ID 1062983.1)

In this Document Goal Solution References APPLIES TO: Oracle Database - Enterprise Edition - Version 11.2.0.1.0 and later Oracle Database Cloud Schema ......
1062983.1 Diskgroup Complete 1062983 Restore

Paper Reading: A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty

受人类学习过程的启发,本文根据学习速度设计了样本难度模型,并提出了一种新的实例级再平衡策略。具体来说模型在每个训练周期记录每个实例的预测,并根据预测的变化来测量该样本的难度难度。然后对困难实例赋予更高的权重,对数据进行重新采样。本文从理论上证明了提出的重采样策略的正确性和收敛性,并进行一些实证实验来... ......

【863】Calculate records based on the same value

Suppose we have a dataframe, it has a column of "country". It lists different names of country's names, and for one country maybe it has multiple reco ......
Calculate records based value same

CPU环境下运行基于yolov5的行人检测代码(pedestrain detection based on yolov5 in CPU)

最近在捣腾基于 yolov5 的行人检测代码,在 github 上下载一个案例之后因为没用 GPU 运行一直碰壁,出现了许多 bug,现在整理了下 error 和解决方法,成功调试出了基于 yolov5 的行人检测代码,分享给大家~ 1. 运行环境:window10,CPU,Visual Studi ......
yolov5 yolov pedestrain 行人 CPU

《DeepChain: Auditable and Privacy-Preserving Deep Learning with Blockchain-based Incentive》论文笔记

本文的研究背景: 在各种机器学习任务中,深度学习可以实现比传统机器学习算法更高的精度。最近,保护隐私的深度学习引起了信息安全界的极大关注,其中训练数据和训练模型都不会被暴露。联合学习是一种流行的学习机制,其中多方将局部梯度上传到服务器,服务器使用收集的梯度更新模型参数。然而,在联合学习中存在许多被忽 ......

【860】Thematic mapping based on R programming

Ref: ggplot2 title : main, axis and legend titles Ref: ggplot2 标题居中 Ref: Ref: Ref: Example: theme(plot.title = element_text(color="red", size=14, face ......
programming Thematic mapping based 860

MIMO-OFDM-Based Massive Connectivity With Frequency Selectivity Compensation

## System Model ### MIMO-OFDM-Based Grant-free NOMA Model ![](https://img2023.cnblogs.com/blog/1203009/202307/1203009-20230717205637841-1413628718.png ......

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning

图的作用: 图结构捕捉不同类型节点(即用户、项目和属性)之间丰富的关联信息,使我们能够发现协作用户对属性和项目的偏好。因此,我们可以利用图结构将推荐和对话组件有机地整合在一起,其中对话会话可以被视为在图中维护的节点序列,以动态地利用对话历史来预测下一轮的行动。 由四个主要组件组成:基于图的 MDP ......

【文献阅读】Optimization and perform criteria of a Stokes polarimeter based on two variable retarders

minimize the noise transmitted through the matrix 主要用三个参数衡量 indicator the condition number (CN) the Equally Weighted Variance (EWV) the error associat ......