云南高校图书馆联盟文献共享服务平台- OVERFITTING

OVERFITTING: 作品数：21被引量：37H指数：4; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关机构：华东师范大学更多>>; 相关期刊：《Computers, Materials & Continua》《World Journal of Methodology》《Chinese Physics Letters》《国际计算机前沿大会会议论文集》更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划上海市自然科学基金更多>>

Classification with Convolutional Neural Networks in MapReduce: 《Journal of Computer and Communications》2024年第8期174-190,共17页Min Chen; Deep learning (DL) techniques, more specifically Convolutional Neural Networks (CNNs), have become increasingly popular in advancing the field of data science and have had great successes in a wide array of applicatio...; 关键词：Distributed System Image Classification CNNS MAPREDUCE OVERFITTING

Overfitting in Machine Learning:A Comparative Analysis of Decision Trees and Random Forests: 《Intelligent Automation & Soft Computing》2024年第6期987-1006,共20页Erblin Halabaku Eliot Bytyçi; Machine learning has emerged as a pivotal tool in deciphering and managing this excess of information in an era of abundant data.This paper presents a comprehensive analysis of machine learning algorithms,focusing on ...; 关键词：Artificial intelligence decision tree random forest PRUNE OVERFITTING

Evaluating Privacy Leakage and Memorization Attacks on Large Language Models (LLMs) in Generative AI Applications被引量：1: 《Journal of Software Engineering and Applications》2024年第5期421-447,共27页Harshvardhan Aditya Siddansh Chawla Gunika Dhingra Parijat Rai Saumil Sood Tanmay Singh Zeba Mohsin Wase Arshdeep Bahga Vijay K. Madisetti; The recent interest in the deployment of Generative AI applications that use large language models (LLMs) has brought to the forefront significant privacy concerns, notably the leakage of Personally Identifiable Infor...; 关键词：Large Language Models PII Leakage Privacy Memorization OVERFITTING Membership Inference Attack (MIA)

Random Search and Code Similarity-Based Automatic Program Repair: 《Journal of Shanghai Jiaotong university(Science)》2023年第6期738-752,共15页曹鹤玲刘方正石建树楚永贺邓淼磊; the Cultivation Programme for Young Backbone Teachers in Henan University of Technology,the Key Scientific Research Project of Colleges and Universities in Henan Province(No.22A520024);the Major Public Welfare Project of Henan Province(No.201300311200);the National Natural Science Foundation of China(Nos.61602154 and 61340037)。; In recent years,automatic program repair approaches have developed rapidly in the field of software engineering.However,the existing program repair techniques based on genetic programming suffer from requiring verific...; 关键词：program repair random search test case prioritization overfitting detection

Challenges and limitations of synthetic minority oversampling techniques in machine learning: 《World Journal of Methodology》2023年第5期373-378,共6页Ibraheem M Alkhawaldeh Ibrahem Albalkhi Abdulqadir Jeprel Naswhan; Oversampling is the most utilized approach to deal with class-imbalanced datasets,as seen by the plethora of oversampling methods developed in the last two decades.We argue in the following editorial the issues with o...; 关键词：Machine learning Class imbalance OVERFITTING MISDIAGNOSIS

Regularised Layerwise Weight Norm Based Skin Lesion Features Extraction and Classification: 《Computer Systems Science & Engineering》2023年第3期2727-2742,共16页S.Gopikha M.Balamurugan; Melanoma is the most lethal malignant tumour,and its prevalence is increasing.Early detection and diagnosis of skin cancer can alert patients to manage precautions and dramatically improve the lives of people.Recently...; 关键词：NORM OVERFITTING REGULARIZATION MELANOMA weight constraints

A Region-Based Analysis for the Feature Concatenation in Deep Forests: 《Chinese Journal of Electronics》2022年第6期1072-1080,共9页LYU Shen-Huan CHEN Yi-He ZHOU Zhi-Hua; supported by the National Natural Science Foundation of China(61921006)。; Deep forest is a tree-based deep model made up of non-differentiable modules that are trained without backpropagation.Despite the fact that deep forests have achieved considerable success in a variety of tasks,feature...; 关键词：Deep forest OVERFITTING Generalization bound Representation learning

Accuracy and reliability of orthogonal polynomials in representing corneal topography: 《Medicine in Novel Technology and Devices》2022年第3期124-133,共10页Junjie Wang Xuefei Li Zheng Wang Pinakin G.Davey Yiyu Li Lanting Yang Mao Lin Xiaobo Zheng Fangjun Bao Ahmed Elsheikh; This work was supported by the National Natural Science Foundation of China[82001924,31771020];the Zhejiang Provincial Natural Science Foundation of China[LY22H180005,LY20H120001,LQ20A020008];the Science and Technology Plan Project of Wenzhou Science and Technology Bureau[Y20180172];the Projects of Medical and Health Technology Development Program in Zhejiang Province[2019RC056];A Project Supported by Scientific Research Fund of Zhejiang Provincial Education Department[Y201839651].The study sponsors had no role in the study design;collection,analysis,and interpretation of data;the writing of the manuscript;the decision to submit the manuscript for publication.; Fitting of corneal topography data to analytical surfaces has been necessary in many clinical and experimental applications,yet absolute superiority of fitting methods was still unclear,and their overfitting risks wer...; 关键词：Corneal topography Orthogonal polynomials Optimum order OVERFITTING PENTACAM

Improving Association Rules Accuracy in Noisy Domains Using Instance Reduction Techniques: 《Computers, Materials & Continua》2022年第8期3719-3749,共31页Mousa Al-Akhras Zainab Darwish Samer Atawneh Mohamed Habib; The APC was funded by the Deanship of Scientific Research,Saudi Electronic University.; Association rules’learning is a machine learning method used in finding underlying associations in large datasets.Whether intentionally or unintentionally present,noise in training instances causes overfitting while ...; 关键词：Association rules classification instance reduction techniques classification overfitting noise data cleansing

Short-Term Prediction of Photovoltaic Power Based on Fusion Device Feature-Transfer: 《Energy Engineering》2022年第4期1419-1438,共20页Zhongyao Du Xiaoying Chen Hao Wang Xuheng Wang Yu Deng Liying Sun; supported by the NationalNatural Science Foundation of China(No.6180802161);the Educational Commission of Liaoning Province of China(No.JZL201915401);We thank TopEdit(www.topeditsci.com)for its linguistic assistance during the preparation of this manuscript.; To attain the goal of carbon peaking and carbon neutralization,the inevitable choice is the open sharing of power data and connection to the grid of high-permeability renewable energy.However,this approach is hindered...; 关键词：Solar power generation transfer learning PV module UMAP GRU OVERFITTING

OVERFITTING