云南高校图书馆联盟文献共享服务平台- REGULARIZED

REGULARIZED: 作品数：203被引量：248H指数：8; 导出分析报告; 相关领域：自动化与计算机技术理学更多>>; 相关作者：王海贤张鲁明王廷春刘岩李功胜更多>>; 相关机构：河北工业大学东南大学西北工业大学南京航空航天大学更多>>; 相关期刊：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国家教育部博士点基金中国博士后科学基金更多>>

Enhancing Adversarial Example Transferability via Regularized Constrained Feature Layer: 《Computers, Materials & Continua》2025年第4期157-175,共19页Xiaoyin Yi Long Chen Jiacheng Huang Ning Yu Qian Huang; supported by the Intelligent Policing Key Laboratory of Sichuan Province(No.ZNJW2022KFZD002);This work was supported by the Scientific and Technological Research Program of Chongqing Municipal Education Commission(Grant Nos.KJQN202302403,KJQN202303111).; Transfer-based Adversarial Attacks(TAAs)can deceive a victim model even without prior knowledge.This is achieved by leveraging the property of adversarial examples.That is,when generated from a surrogate model,they re...; 关键词：Adversarial examples black-box transferability regularized constrained transfer-based adversarial attacks

Generalized uncertainty principle from the regularized self-energy: 《Communications in Theoretical Physics》2025年第1期92-100,共9页Kimet Jusufi Ahmed Farag Ali; We use the Schrödinger–Newton equation to calculate the regularized self-energy of a particle using a regular self-gravitational and electrostatic potential derived in string T-duality.The particle mass M is no longe...; 关键词：generalized uncertainty principle T-DUALITY regularized self-energy

ADAPTIVE REGULARIZED QUASI-NEWTON METHOD USING INEXACT FIRST-ORDER INFORMATION: 《Journal of Computational Mathematics》2024年第6期1656-1687,共32页Hongzheng Ruan Weihong Yang; supported by the National Natural Science Foundation of China(Grant No.NSFC-11971118).; Classical quasi-Newton methods are widely used to solve nonlinear problems in which the first-order information is exact.In some practical problems,we can only obtain approximate values of the objective function and i...; 关键词：Inexact first-order information REGULARIZATION Quasi-Newton method

Stock price index analysis of four OPEC members:a Bayesian approach: 《Financial Innovation》2024年第1期1107-1135,共29页Saman Hatamerad Hossain Asgharpur Bahram Adrangi Jafar Haghighat; This study examines the relationship between macroeconomic variables and stock price indices of four prominent OPEC oil-exporting members.Bayesian model averaging(BMA)and regularized linear regression(RLR)are employed...; 关键词：EQUITIES MACROECONOMICS Bayesian model averaging Bayesian estimation Regularized linear regression OPEC countries

Robust Offline Actor-Critic With On-policy Regularized Policy Evaluation: 《IEEE/CAA Journal of Automatica Sinica》2024年第12期2497-2511,共15页Shuo Cao Xuesong Wang Yuhu Cheng; supported in part by the National Natural Science Foundation of China(62176259,62373364);the Key Research and Development Program of Jiangsu Province(BE2022095)。; To alleviate the extrapolation error and instability inherent in Q-function directly learned by off-policy Q-learning(QL-style)on static datasets,this article utilizes the on-policy state-action-reward-state-action(SA...; 关键词：Offline reinforcement learning off-policy QL-style on-policy SARSA-style policy evaluation(PE) Q-value estimation

Hypergraph regularized multi-view subspace clustering with dual tensor log-determinant: 《Journal of Measurement Science and Instrumentation》2024年第4期466-476,共11页HU Keyin LI Ting GE Hongwei; supported by National Natural Science Foundation of China(No.61806006);Priority Academic Program Development of Jiangsu Higher Education Institutions。; The existing multi-view subspace clustering algorithms based on tensor singular value decomposition(t-SVD)predominantly utilize tensor nuclear norm to explore the intra view correlation between views of the same sampl...; 关键词：multi-view clustering tensor log-determinant function subspace learning hypergraph regularization

Regularized Inverse Covariance Estimation for Longitudinal Data with Informative Dropout: 《应用概率统计》2024年第6期1016-1039,共24页YANG Shuning ZHENG Zhi ZHANG Weiping; supported by the National Natural Science Foundation of China(Grant No.12171450).; This paper proposes a novel method for estimating the sparse inverse covariance matrixfor longitudinal data with informative dropouts. Based on the modified Cholesky decomposition,the sparse inverse covariance matrix ...; 关键词：penalized estimating function modified Cholesky decomposition DROPOUT inverse probability weighting

Regularized dynamic mode decomposition algorithm for time sequence predictions: 《Theoretical & Applied Mechanics Letters》2024年第5期395-401,共7页Xiaoyang Xie Shaoqiang Tang; supported by the National Nature Science Foundation of China (Grant No.11988102);National Undergraduate Training Program for Innovation and Entrepreneurship。; Dynamic mode decomposition(DMD) aims at extracting intrinsic mechanisms in a time sequence via linear recurrence relation of its observables, thereby predicting later terms in the sequence. Stability is a major concer...; 关键词：Dynamic mode decomposition Reduced order modelling STABILITY REGULARIZATION

Low‑light enhancement method with dual branch feature fusion and learnable regularized attention: 《Frontiers of Optoelectronics》2024年第3期93-111,共19页Yixiang Sun Mengyao Ni Ming Zhao Zhenyu Yang Yuanlong Peng Danhua Cao; supported by State Grid Corporation of China(5700-202325308A-1-1-ZN);Information&Telecommunication Branch of State Grid Jiangxi Electric Power Company.; Restricted by the lighting conditions,the images captured at night tend to sufer from color aberration,noise,and other unfavorable factors,making it difcult for subsequent vision-based applications.To solve this probl...; 关键词：Power inspection Low-light enhancement Feature fusion Learnable regularized attention

Learning a Subspace and Clustering Simultaneously with Manifold Regularized Nonnegative Matrix Factorization: 《Guidance, Navigation and Control》2024年第3期147-165,共19页Feiping Nie Huimin Chen Heng Huang Chris H.Q.Ding Xuelong Li; With the incredible growth of high-dimensional data such as microarray gene expression data and web blogs from internet, the researchers are desirable to develop new clustering techniques to address the critical probl...; 关键词：Subspace learning CLUSTERING nonnegative matrix factorization manifold learning

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