526互联

surveillance detection learning maritime

06.Sentiment Analysis Based on Deep Learning: A Comparative Study

Sentiment Analysis Based on Deep Learning: A Comparative Study 深度学习的情感分析的比较研究 目前在社交网络中的情绪分析已经成为了解用户意见的有力手段，并有着广泛应用。然而情感分析的效率和准确性受到自然语言处理中遇到的挑战和障碍 本问综述 ......
Comparative Sentiment Analysis Learning Based

The Predictron: End-To-End Learning and Planning

**发表时间：**2017（ICML 2017） **文章要点：**这篇文章设计了一个叫Predictron的结构，在abstract的状态上进行学习，通过multiple planning depths来使得model self-consistent，进行端对端的学习。这里的设定是MRP，不是MD ......
Predictron End-To-End End Learning Planning

迁移学习（DAOD）《Refined Pseudo labeling for Source-free Domain Adaptive Object Detection》

论文信息 论文标题：Refined Pseudo labeling for Source-free Domain Adaptive Object Detection论文作者：Siqi Zhang, Lu Zhang, Zhiyong Liu论文来源：2023 ArXiv论文地址：download 论 ......
Source-free Detection Adaptive labeling Refined

Learning Blender: A Hands-On Guide to Creating 3D Animation(2nd Edition)

参考1：https://www.doc88.com/p-9975664843996.html（书） 参考2：https://www.bilibili.com/video/BV1wW411i7nY（视频） ......
Animation Learning Hands-On Creating Blender

mini spring learning

https://www.pexels.com/zh-cn/photo/768089/ http://www.implements.fun:8080/tag/minispring package com.minis.beans.factory; import com.minis.beans.Beans ......
learning spring mini

About Interviews and Learning------Learning journals 5

This week, we produced a group assignment, an interview video on cultural appropriation and appreciation, from which we can always learn something use ......
Learning Interviews journals About and

learn C++ for infrastructure software

To learn C++ for infrastructure software, you can follow these steps: Learn the basics of C++: Start by learning the basics of C++ programming languag ......
infrastructure software learn for

计算机视觉中的主动学习（Active Learning）介绍

前言 Active Learning主动学习是机器学习 (ML) 的一个研究领域，旨在通过以智能方式查询管道的下一个数据来降低构建新机器学习解决方案的成本和时间。在开发新的 AI 解决方案和处理图像、音频或文本等非结构化数据时，我们通常需要人工对数据进行注释，然后才能使用它们来训练我们的模型。这个数 ......
Learning 视觉 计算机 Active

Sample-Based Learning and Search with Permanent and Transient Memories

**发表时间：**2008（ICML 2008） **文章要点：**这篇文章提出Dyna-2算法，把sample-based learning and sample-based search结合起来，并在Go上进行测试。作者认为，search算法是一种transient的算法，就是短期记忆用了就忘了 ......
Sample-Based Permanent and Transient Learning

Learning Objectives COMP 250

Assignment 3 COMP 250 Winter 2023 posted: Thursday, March 23, 2023 due: Thursday, April 6, 2023 at 11:59m Learning Objectives By the end of this assig ......
Objectives Learning COMP 250

Detecting novel systemic biomarkers in external eye photos

FRIDAY, MARCH 24, 2023 Posted by Boris Babenko, Software Engineer, and Akib Uddin, Product Manager, Google Research Last year we presented results dem ......
biomarkers Detecting external systemic photos

Exadata X6-2，出现RS-7445 [Serv CELLSRV hang detected] [It will be restarted]

1、驻场的同事发现X6-2的某个存储节点，出现7445错误。 # cellcli -e list alerthistory 2023-03-27T23:01:44+08:00 critical "RS-7445 [Serv CELLSRV hang detected] [It will be res ......
restarted detected Exadata CELLSRV 7445

elementUI使用v-if控制tab标签显示报错 Duplicate keys detected: 'xxx'

<el-tabs @tab-click="handleClick" v-model="activeTabName"> <el-tab-pane v-if="" label="用户管理" name="first" ref="first" >...</el-tab-pane> <el-tab-pane ......
elementUI Duplicate detected 标签 39

COMP4318 COMP4318 – Machine Learning

OMP5318/COMP4318 – Machine Learning and Data Mining Semester 1, 2023Page 1 of 7Assignment 1: ClassificationKey informationDeadlinesSubmission: 11:59pm ......
COMP 4318 Learning Machine

Learning model-based planning from scratch

**发表时间：**2017 **文章要点：**这篇文章想说，之前的文章去做planning的时候，都会去设计一个planning的方法。这篇文章提出了一个端到端的方法，Imagination-based Planner，不去设计planning的方式，做到全部的端对端训练，agent会决定什么时候去 ......
model-based Learning planning scratch model

sqlalchemy_learn_sqlite

/Users/song/codelearn/sqlalchemy_learn/init_test_data.py #!/usr/bin/env python3 # -*- coding: utf-8 -*- import asyncio import random from faker import ......
sqlalchemy_learn_sqlite sqlalchemy sqlite learn

End-to-End Object Detection with Transformers

本文提出了一种端到端的，使用transformer的目标检测方法。作者将目标检测视为直接集合预测的问题。相比较于之前的方法，有效地消除了许多手工设计的组件的需求。 之前目标检测中，不论是proposal based的方法，还是anchor based的方法，都需要用到nms（非极大值抑制）等后处理方 ......
Transformers End-to-End End Detection Object

Appropriation and Appreciation------learning journals 4

There are many cultures in this world, but some cultures are rarely known, even if they are known to a certain extent, leading to the existence of ste ......
Appropriation Appreciation learning journals and

learn to js

Certainly! Here are some book and video recommendations to help you learn JavaScript: "JavaScript: The Good Parts" by Douglas Crockford - This book is ......
learn js to

迁移学习（PCL）《PCL: Proxy-based Contrastive Learning for Domain Generalization》

论文信息 论文标题：PCL: Proxy-based Contrastive Learning for Domain Generalization论文作者：论文来源：论文地址：download 论文代码：download引用次数： 1 前言 域泛化是指从一组不同的源域中训练一个模型，可以直接推广到不 ......
Generalization Contrastive Proxy-based PCL Learning

Deep Transfer Learning综述阅读笔记

这是一篇linkedin发表的深度迁移学习综述, 里面讲了一些对于search/recommend system中的迁移学习应用. 有不少指导性的方法, 看完后摘录出来 对于ranking方向的TL, 主要有两种transfer方式: Model transfer 对于参数量非常大的预训练模型, F ......
Transfer Learning 笔记 Deep

Interpretable Rumor Detection in Microblogs by Attending to User Interactions

Article: l 论文标题：Interpretable Rumor Detection in Microblogs by Attending to User Interactions（通过关注用户交互的可解释性的微博谣言检测） l 论文作者：Ling Min Serena Khoo, Hai L ......
Interpretable Interactions Microblogs Detection Attending

how to learn C++?

Here are some steps to learn C++: Learn the basics: Start with the basics of C++, including variables, data types, control structures, loops, and func ......
learn how to

指针常量和常量指针_C++_Learning1

怎么读？ 遇到 "*" 读指针，遇到 "const" 读常量 一、指针常量 //指针常量——指针(也就是它存储的地址)是一个常量，所以其值不能修改，但指向的内容可以修改 int a = 10, b = 20; int* const ch = &a; //ch = &b; //其值不能修改 *ch = ......
常量 指针 Learning1 Learning

Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization概述

1.针对的问题 在弱监督时序动作定位领域提出了一些帧监督的方法，但是由于标签稀疏性，现有的工作无法学习动作的完整性，动作预测零碎，导致在高IoU阈值的情况下表现较差。作者试图通过生成密集的伪标签，为模型提供完整性指导。 2.主要贡献 •引入了一个新的框架，其中生成了密集的最优序列，以在点监督设置下为 ......
Action Weakly-supervised Completeness Localization supervised

CVPR论文解读《Learning To Count Everything》

密集场景下的目标检测与计数 ———CVPR论文解读《Learning To Count Everything》 计数是我们经常会碰到的问题，使用最贴近我们生活实际的情景举例。例如统计上课已到教室的人数，或者统计货架上的物品数量、统计书架上的书本数。在比较密集的情况下，通过人工计数是非常麻烦的，但如果 ......
Everything Learning 论文 Count CVPR

02.Deep Reinforcement Learning for Quantitative Trading Challenges and Opportunities

Deep Reinforcement Learning for Quantitative Trading Challenges and Opportunities 量化交易的深度强化学习：挑战与机遇 IEEE 背景 量化交易：量化交易是指借助现代统计学和数学的方法，利用计算机技术来进行交易的证券投资 ......
Reinforcement Opportunities Quantitative Challenges Learning

tv pine learning type system

类型系统分类 form type The form expresses when a value is known. The type denotes the nature of a value. form 要表达的是当值是知道的（比如常量，或者用户输入决定，而且后续就不变了） type 强调的是值 ......
learning system pine type tv

Learning with Mini-Batch

在机器学习中，学习的目标是选择期望风险$R_{exp}$(expected loss)最小的模型，但在实际情况下，我们不知道数据的真实分布（包含已知样本和训练样本），仅知道训练集上的数据分布。因此，我们的目标转化为最小化训练集上的平均损失，这也被称为经验风险$R_{emp}$(empirical l ......
Mini-Batch Learning Batch with Mini

Debiased Contrastive Learning of Unsupervised Sentence Representations 论文精读

ACL2022-long paper 原文地址 1. 介绍(Introduction) 问题: 由PLM编码得到的句子表示在方向上分布不均匀, 在向量空间中占据一个狭窄的锥形区域, 这在很大程度上限制了它们的表达能力. 已有的解决办法: 对比学习. 对于一个原句, 构造他的正例(语义相似的句子)和负 ......
Representations Unsupervised Contrastive Debiased Learning
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