DDM（Drift Detection Method）

时间 2021-08-15

标签 concept drift DDM 繁體版

原文原文链接

Introduction 很多机器学习模型都是基于stationary probability distribution（稳定概率分布）数据样本的，随着样本数据的概率分布的改变，模型的准确率也会随之下降，DDM就是这样一种检测方法，用于检测样本数据的概率分布的改变。DDM也是作为concept drift领域一个base line，很多concept drift detector都是以次基础上作为

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1. Concept Drift（概念漂移）
2. The Louvain method for community detection
3. matlab2018a （Edge Detection Using Sobel Method）
4. A Robust Hand Detection Method Based on Skin Probability Map
5. A Surface Defect Detection Method Based on Positive Samples
6. op手册中OFFSET、DRIFT、BIAS的理解
7. 读论文 CVPR_2017_Scene-Text-Detection Method Robust against Orientation and Discontiguous Components of
8. A Hybrid Method Using Haar-like and SkinColor Algorithm for Hand Posture Detection Recognition Track
9. A Light CNN based Method for Hand Detection and Orientation Estimation
10. 论文阅读笔记《A Surface Defect Detection Method Based on Positive Samples》

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