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Deep-IRT Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory
写在前面 xff1a 本文在DKVMN的基础上结合项目IRT xff0c 加入了student ability network 和 difficulty network两个网络 xff0c 增加深度知识追踪的可解释性 1 摘要 基于深度学习
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Vision-based Vehicle Speed Estimation: A Survey
该文是对 Vision based Vehicle Speed Estimation A Survey 的翻译 xff0c 为了个人记录学习 目录 摘要1 引言2 概念与术语2 1 输入数据2 2 检测与追踪2 3 距离和速度估计2 4 应
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Dependable Horizontal Scaling Based On Probabilistic Model Checking 阅读笔记
一 介绍 本文提出的方法分为 基于马尔科夫决策过程 Markov Decision Processes 构建弹性动作的模型 利用模型制定具体的弹性策略 使用马尔科夫决策过程的原因 MDPs 可以捕捉问题的转移概率和不确定性 在当前状态下 不
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《A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges》阅读笔记
忙活了一阵子后 xff0c 现在终于有空研究一下目前如火如荼的ABSA了 xff0c 当然 xff0c 还是先从综述出发 A Survey on Aspect Based Sentiment Analysis Tasks Methods a
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Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory
Deep IRT Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory Student Ability and Difficult
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【机翻】Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification
Contrastive Learning based Hybrid Networks for Long Tailed Image Classification Abstract 在长尾图像分类中 xff0c 判别式图像表示的学习起着非常重要
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vbm 分析_不同的工具包对Voxel-based morphometry (VBM)计算结果的影响
前期大量的MRI研究已经表明 xff0c 精神分裂患者很多脑区的局部灰质体积 xff08 regional grey matter volume xff09 出现异常变化 xff0c 但是这些研究的结果似乎并不一致 而这种结果的不一致性是否
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Shared-memory Based Ring Buffer
This post explains how to implement a ring buffer that can be shared between multiple processes For the simplicity and e
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