.png){kind=icon}
返回
Resampling approach for one-Class classification
.png){kind=icon}
OA
AI
DOI：10.1016/j.patcog.2023.109731.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The performance of a classification model depends significantly on the degree to which the support of each data class overlaps. Successfully distinguishing between classes is difficult if the support is similar. In the one-class classification (OCC) problem, wherein the data comprise only a single class, the classifier performance is significantly degraded if the population support of each class is similar. In this study, we propose a resampling algorithm that enhances classifier performance by utilizing the macro information that is most easily obtainable in these two problem situations. The algorithm aims to improve classifier performance by reprocessing the given data into data with mitigated class imbalance through raking and sampling techniques. This performance improvement is demonstrated by comparing representative clas-sifiers used in the existing OCC problem with traditional binary classifier models, which are unavailable on a single-class dataset.& COPY; 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )
Keyword:
One-class classification
Data-driven approach
Oversampling
Calibration
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.6
论文数:
1.3W
被引数:
4.5W
机构
引用论文
Improving one class support vector machine novelty detection scheme using nonlinear features.png)
PATTERN RECOGNITION
PATTERN RECOGNITIONIF7.6
PREAI
分享收藏Two methods of selecting Gaussian kernel parameters for one-class SVM and their application to fault detection一类支持向量机的两种高斯核参数选择方法及其在故障检测中的应用
PREAI
分享收藏分享收藏A modified support vector data description based novelty detection approach for machinery components
PREAI
分享收藏Client-specific anomaly detection for face presentation attack detectionPATTERN RECOGNITIONOAAI
PATTERN RECOGNITIONIF7.6
OAAI分享收藏分享收藏The use of the area under the roc curve in the evaluation of machine learning algorithmsroc曲线下面积在机器学习算法评价中的应用PATTERN RECOGNITIONOAAI
PATTERN RECOGNITIONIF7.6
OAAI分享收藏Anomaly-based network intrusion detection: Techniques, systems and challengesCOMPUTERS & SECURITY
COMPUTERS & SECURITYIF5.4
PREAI
分享收藏
查看更多内容