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检索条件"主题词=Memory-based algorithms"
5 条 记 录,以下是1-10 订阅
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An efficient memory-based electromagnetism-like mechanism for the redundancy allocation problem
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APPLIED SOFT COMPUTING 2016年 38卷 423-436页
作者: Teimouri, Mohammad Zaretalab, Arash Niaki, S. T. A. Sharifi, Mani Amirkabir Univ Technol Dept Ind Engn Tehran Iran Islamic Azad Univ Qazvin Branch Fac Ind & Mech Engn Qazvin Iran Sharif Univ Technol Dept Ind Engn Tehran *** Iran
Meta-heuristic algorithms have been successfully applied to solve the redundancy allocation problem in recent years. Among these algorithms, the electromagnetism-like mechanism (EM) is a powerful population-based algo... 详细信息
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memory-based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning
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JOURNAL OF MACHINE LEARNING RESEARCH 2023年 第1期24卷 1-46页
作者: Wang, Bokun Yuan, Zhuoning Ying, Yiming Yang, Tianbao Texas A&M Univ Dept Comp Sci & Engn College Stn TX 77843 USA Univ Iowa Dept Comp Sci Iowa City IA 52242 USA SUNY Albany Dept Math & Stat Albany NY 12222 USA
In recent years, model-agnostic meta-learning (MAML) has become a popular research area. However, the stochastic optimization of MAML is still underdeveloped. Existing MAML algorithms rely on the "episode" i... 详细信息
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Applying landmarks to enhance memory-based collaborative filtering
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INFORMATION SCIENCES 2020年 513卷 412-428页
作者: Lima, Gustavo R. Mello, Carlos E. Lyra, Adria Zimbrao, Geraldo Univ Fed Rio de Janeiro COPPE PESC BR-68511 Rio De Janeiro Brazil Fed Univ State Rio De Janeiro PPGI Av Pasteur 458 Urca Rio De Janeiro Brazil Univ Fed Rural Rio de Janeiro DCC Nova Iguacu RJ Brazil
memory-based Collaborative Filtering (CF) has been a widely used approach for personalised recommendation with considerable success in many applications. An important issue regarding memory-based CF lies in similarity... 详细信息
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memory-Assisted Dynamic Multi-Objective Evolutionary Algorithm for Feature Drift Problem
Memory-Assisted Dynamic Multi-Objective Evolutionary Algorit...
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IEEE Congress on Evolutionary Computation (CEC) as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)
作者: Sahmoud, Shaaban Topcuoglu, Haluk Rahmi Fatih Sultan Mehmet Vakif Univ Comp Engn Dept Istanbul Turkey Marmara Univ Comp Engn Dept Istanbul Turkey
In this paper, we propose an enhanced feature selection algorithm able to cope with feature drift problem that may occur in data streams, where the set of relevant features change over time. We utilize a dynamic multi... 详细信息
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memory-based optimization methods for model-agnostic meta-learning and personalized federated learning
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2023年 第1期24卷 6926-6971页
作者: Bokun Wang Zhuoning Yuan Yiming Ying Tianbao Yang Department of Computer Science and Engineering Texas A&M University College Station TX Department of Computer Science The University of Iowa Iowa City IA Department of Mathematics and Statistics University at Albany Albany NY
In recent years, model-agnostic meta-learning (MAML) has become a popular research area. However, the stochastic optimization of MAML is still underdeveloped. Existing MAML algorithms rely on the "episode" i... 详细信息
来源: 评论