understand q-networks analytics approach

Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

原文地址:https://arxiv.org/abs/2305.07001 本文作者将用户偏好、意图等构建为指令,并用这些指令调优一个LLM(3B Flan-T5-XL),该方法对用户友好,用户可以与系统交流获取更准确的推荐。 ## INTRODUCTION LLM是建立在自然语言文本上的,它不能直 ......

论文解读(MTEM)《Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification》

Note:[ wechat:Y466551 | 可加勿骚扰,付费咨询 ] 论文信息 论文标题:Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classific ......

【ICML2022】Understanding The Robustness in Vision Transformers

来自NUS&NVIDIA 文章地址:[2204.12451] Understanding The Robustness in Vision Transformers (arxiv.org) 项目地址:https://github.com/NVlabs/FAN 一、Motivation CNN使用滑动 ......

NetSuite 数据分析 ODBC(SuiteAnalytics Connect) 和 新的Analytics Warehouse

背景 本文主要分享概念层面上的关于:NetSuite在ODBC上面的功能和演变。 Add-On模块 功能与收费情况 1. ODBC, JDBC and ADO.NET 这三个对应SuiteAnalytics Connect功能;免费 它有较长时间的发展历史和版本迭代,具体详见附录或Help中Conn ......

What's the best approach for generating a new API key?

https://stackoverflow.com/questions/14412132/whats-the-best-approach-for-generating-a-new-api-key Edit: I've spoke to a few friends (email/twitter) an ......
generating approach What best API

Proj CDeepFuzz Paper Reading: An Extensive Study on Pre-trained Models for Program Understanding and Generation

## Abstract ## 1. Intro ## 2. Background ### 2.1 Program Understanding and Generation Tasks ### 2.2 NL-PL Pre-Trained Models ![](https://img2023.cnblo ......

Google Analytic 4 All In One

Google Analytic 4 All In One Google Analytics(分析)4 (GA4) GA4 是新一代的 Google Analytics(分析),可为您提供隐私控制功能、预测性数据、直接产品关联,以及可自定义的网站和移动应用报告。 ......
Analytic Google All One In

什么是 SAP S/4HANA 的 VDM Layering Architecture 的 CDS Analytical Query View

CDS,即Core Data Services,是一种用于定义数据模型和数据库访问的语言,广泛用于SAP应用程序开发。Analytical Query View(AQV)是CDS的一种扩展,专门用于支持分析性查询和报表。 **什么是CDS Analytical Query View?** CDS A ......
Architecture Analytical Layering 4HANA Query

一张图读懂TuGraph Analytics开源技术架构

通过一张图描述清楚TuGraph Analytics的整体架构和关键设计,帮助大家快速了解TuGraph Analytics项目轮廓。 ......
架构 Analytics TuGraph 技术

语音合成技术6:DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic Model

DuTa-VC: 一种具有扩散概率模型的时长感知典型到非典型语音转换方法 摘要 我们提出了一种新颖的典型到非典型语音转换方法(DuTa-VC),它具有以下特点:(i)可以使用非平行数据进行训练,(ii)首次引入了扩散概率模型,(iii)保留了目标说话者的身份,(iv)了解目标说话者的音素持续时间。D ......

哪篇论文宣布了 HTAP 数据库的诞生? StoneDB带您解读《A Common Database Approach for OLTP and OLAP..》

theme: condensed-night-purple 开启掘金成长之旅!这是我参与「掘金日新计划 · 12 月更文挑战」的第4天,[点击查看活动详情](https://juejin.cn/post/7167294154827890702 "https://juejin.cn/post/7167 ......
Approach Database StoneDB 数据库 数据

【快应用】快应用接入Analytics后自动采集事件LAUNCHAPP参数unknown?

【关键词】 快应用、接入Analytics、LAUNCHAPP、华为分析 【问题背景】 有cp反馈,快应用接入Analytics打开调试后,在“应用调试”界面“应用启动”事件$LaunchApp里面的$StartType和$StartSence参数取值都是unknown是什么原因?问题截图如下: ​ ......
Analytics LAUNCHAPP 参数 unknown 事件

Fiori Elements 应用里的 Analytical List Page

当谈到 SAP Fiori Elements 应用中的 "Analytical List Page" (ALP) 时,它是一种用于展示分析型数据的现代化、可自定义的应用类型。ALP 基于 SAPUI5 技术栈,旨在提供一种简化的开发方法,使开发人员能够快速创建符合 SAP Fiori 用户体验标准的 ......
Analytical Elements Fiori List Page

论文解读(TAT)《 Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers》

Note:[ wechat:Y466551 | 可加勿骚扰,付费咨询 ] 论文信息 论文标题:Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers论文作者:Hong Liu, Mingsh ......

OpenERP分析会计(Analytic Account)应用案例

Analytic Account,分析会计,也叫管理会计、成本会计。分析会计有何应用呢?试看两个例子:1) 佣金计算,对于每一张销售订单(SO,Sales Order),业务员提成销售额的1%,关系人返点(回扣)5%。如何配置OpenERP系统以实现本业务需求呢?2) 制造费用分配,我们知道生产成本 ......
Analytic 案例 OpenERP Account 会计

Quantitative Approach of Management Science:(better decision making by using quantitative techniques)

Which is the use of **quantitative techniques to improve decision making**. Also known as _management science_. **Better decision making by using quan ......

Behavioral Approach of Management Science: OB(Organizational Behavior)

Managers GTD(get things done) by WWP(working with people). This explains why some writers have chosen to **look at management** by **focusing on the o ......

Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics

在Delta Lake官网上提到的一篇新一代湖仓架构的论文. ![image.png](https://cdn.nlark.com/yuque/0/2023/png/492896/1689406041936-82416672-e4d8-46db-9742-19b4a283b7f4.png#avera ......

机器翻译 | Understanding Back-Translation at Scale论文翻译

## 题目 大规模理解反向翻译 ## 摘要 在并行训练语料库中增加目标语言句子的反译,是提高单语数据神经机器翻译的有效方法。这项工作拓宽了对反翻译的理解,并研究了一些生成合成源句的方法。我们发现,除了资源贫乏之外,通过采样或带噪波束输出获得的反向平移是最有效的。我们的分析表明,采样或有噪声的合成数据 ......

How to understand matrix(Primary)

# What is Matrix? TODO # What is Eigenvector and Eigenvalue? 任何**只被矩阵缩放**而**不被旋转**的矢量被称为该矩阵的**特征向量**(Eigenvector),而**向量被缩放的程度**称为**特征值**(Eigenvalue)。 ......
understand Primary matrix How to

QNX-9—QNX官网文档翻译—Understanding QNX Virtual Environments

注:翻译自QNX Hypervisor --> QNX Hypervisor 2.2 User's --> Understanding QNX Virtual Environmentshttps://www.qnx.com/developers/docs/7.1/index.html#com.qnx ......

Understanding JavaScript Garbage Collection: Dive into Reference Counting and Mark-and-Sweep Algorithms

JavaScript, the programming language of the web, is often praised for its ability to handle memory management automatically. The JavaScript engine's g ......

事件抽取论文综述-A Survey on Deep Learning Event Extraction: Approaches and Applications

A Survey on Deep Learning Event Extraction: Approaches and Applications 1)发表信息: https://arxiv.org/abs/2107.02126 Qian Li, Jianxin Li, Member, IEEE, Ji ......

Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach(1)论文解读

激光光流里程计的基本理解: (1)类比图像光流,假设光强度不变,图像是每个像素点,像素包含灰度值;激光光流,假设障碍物不动,光流是激光范围内的激光点,每个激光点包含距离和角度信息 (2)图像信息求导,得到光强度;激光光流信息求导,得到速度(距离的速度,角度的速度),并可以用分解到笛卡尔坐标系下的速度 ......
Flow-based Odometry Approach Scanner Planar

NIST SP 800-37 Risk Management Framework for Information Systems and Organizations A System Life Cycle Approach for Security and Privacy

NIST SP 800-37 Risk Management Framework for Information Systems and Organizations A System Life Cycle Approach for Security and Privacy It structured ......

Understanding Structural Vulnerability in Graph Convolutional Networks

Chen L., Li J., Peng Q., Liu Y., Zheng Z. and Yang C. Understanding structural vulnerability in graph convolutional networks. IJCAI, 2021. 概 mean 是在 G ......

Understanding Dataset Difficulty with V-Usable Information

Ethayarajh K., Choi Y. and Swayamdipta S. Understanding dataset difficulty with $\mathcal{V}$-usable information. ICML, 2022. 概 将 $\mathcal{V}$-inform ......

百度统计与Google Analytics(谷歌统计)代码整合

以下是将百度统计与谷歌统计代码整合在一起,在国内不加载谷歌统计 <script> // 百度统计 var _hmt = _hmt || []; (function() { var hm = document.createElement("script"); hm.src = "https://hm. ......
Analytics 代码 Google

拉格朗日插值法 (Lagrange interpolation approach) 学习笔记

Lagrange interpolation approach 是要解决一种如下的问题: 给定 $n$ 个坐标,$(x_1, y_1), (x_2, y_2), \dots, (x_n, y_n)$,确定一个多项式 $f(x) = a_0 + a_1x + a_2x^2 + \dots + a_dx ......

Video Stream Analytics Using OpenCV, Kafka and Spark Technologies

Key Takeaways For reliable handling and efficient processing of large scale video stream data, there is a need for a scalable, fault tolerant and loos ......
Technologies Analytics Stream OpenCV Video