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检索条件"任意字段=International Workshop on Multilevel Optimization - Algorithms and Applications"
1022 条 记 录,以下是731-740 订阅
排序:
Rule-based parallel query optimization for OQL using a parallelism extraction technique
Rule-based parallel query optimization for OQL using a paral...
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international workshop on Database and Expert Systems applications
作者: S.F. Mendes P.R. Falcone Sampaio Departmento de Computacao Campus do Pici Universidade Federal do Ceara Fortaleza Brazil Computer Science Department University of Manchester Institute of Science and Technology UK
This work deals with query optimization far parallel object-oriented databases using rule-based optimizers. The solution enacted departs from an existing non-parallel database query optimizer and extends it with a par... 详细信息
来源: 评论
The 1st international workshop on Federated Learning with Graph Data (FedGraph)  22
The 1st International Workshop on Federated Learning with Gr...
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31st ACM international Conference on Information and Knowledge Management (CIKM)
作者: Yang, Carl Li, Xiaoxiao Baracaldo, Nathalie Shah, Neil He, Chaoyang Lyu, Lingjuan Sun, Lichao Avestimehr, Salman Emory Univ Atlanta GA 30322 USA Univ British Columbia Vancouver BC Canada IBM Res San Jose CA USA Snap Res Seattle WA USA FedML Inc Los Angeles CA USA Sony AI Tokyo Japan Lehigh Univ Bethlehem PA 18015 USA Univ Southern Calif Los Angeles CA 90007 USA
The field of graph data mining, one of the most important AI research areas, has been revolutionized by graph neural networks (GNNs), which benefit from training on real-world graph data with millions to billions of n... 详细信息
来源: 评论
A stock price forecasting application using neural networks with multi-optimizer
A stock price forecasting application using neural networks ...
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IEEE international workshop on Computational Intelligence & applications (IWCIA)
作者: Chukiat Worasucheep Department of Mathematics King Mongkut's University of Technology Thonburi (KMUTT) Bangkok Thailand
This paper proposes an application prototype for forecasting of stock prices using feed-forward neural network with back propagation, Particle Swarm optimization and Differential Evolution. The prototype provides a co... 详细信息
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Interactive system design and end-to-end optimization in sensor networks
Interactive system design and end-to-end optimization in sen...
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作者: Grythe, Knut Lie, Arne Balasingham, Ilangko SINTEF ICT Dept. of Communication Systems Norway Rikshospitalet University Hospital Dept. of Electronics and Telecommunications Norwegian University of Science and Technology Norway
This paper proposes an application oriented four layered quality of service (QoS) stack for wireless sensor networks (WSN), including a supporting system architecture for interacting with WSNs using the MPEG-21 multim... 详细信息
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Research on a Scale-Free Network with Tunable Clustering Coefficient
Research on a Scale-Free Network with Tunable Clustering Coe...
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international workshop on Intelligent Systems and applications, ISA
作者: Qin Yang Lulong Lan Jianhui Zhang National Digital Switching System Engineering Technological Research and Development Center Zhengzhou Henan China
Network topology plays an important role in design and optimization of routing protocols and network algorithms. Based on the characteristics of real networks and local world phenomenon, this paper proposes a evolving... 详细信息
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Computation on parametric curves with applications in localization and grasping
Computation on parametric curves with applications in locali...
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5th international workshop on the Algorithmic Foundations of Robotics, WAFR 2002
作者: Jia, Yan-Bin Iowa State University Ames IA 50011-1040 United States
This paper investigates efficient curve processing that originates from the localization and grasping of 2D curved objects. The first algorithm locates the boundary section of an object traced out by a rolling finger ... 详细信息
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Three Sub-Swarm Particle Swarm optimization Algorithm
Three Sub-Swarm Particle Swarm Optimization Algorithm
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international workshop on Intelligent Systems and applications, ISA
作者: Ming-Ming Bai Hui Sun Lie-Yang Wu Ze-Tao Jiang Wen-Huan Wu Dept. of Comput. Sci. & Technol. NanChang Inst. of Technol. Nanchang Nanchang Hangkong University Nanchang Hangkong University Nanchang Jiangxi CN
In order to overcome the drawback of the standard PSO, such as being subject to falling into local optimization, an improved PSO algorithm based on three sub-swarms exchange is proposed. Firstly the method divides the... 详细信息
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multilevel Load Balancing Algorithm for Domestic Heterogeneous Manycore Architecture
Multilevel Load Balancing Algorithm for Domestic Heterogeneo...
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international Symposium on Parallel and Distributed Processing with applications, ISPA
作者: Yi Ma Xin Chen Heng Guo Fang Li Xin Liu Tsinghua University Beijing China National Research Center of Parallel Computer Engineering and Technology Beijing China
Load imbalance often occurs in particle-in-cell simulations on parallel computing, which seriously affects the efficiency of applications. Due to the characteristics of multilevel parallelism and communication asymmet... 详细信息
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Determination of microscopic parameters of piezoceramic materials under electrical loading using genetic algorithm
Determination of microscopic parameters of piezoceramic mate...
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IEEE international Symposium on applications of Ferroelectrics (ISAF)
作者: J. Bustillo M. Domenjoud J. Fortineau G. Gautier M. Lethiecq GREMAN UMR 7347 University of Tours CEA Tours France
The purpose of this study is the characterization of microscopic parameters of piezoceramic materials, such as spontaneous polarization and spontaneous strain. In previous works, a model has been developed by bridging... 详细信息
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A Hybrid Particle Swarm optimization Algorithm for Multimodal Function optimization
A Hybrid Particle Swarm Optimization Algorithm for Multimoda...
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international workshop on Intelligent Systems and applications, ISA
作者: Jirong Gu Lin Lin Hui Wang College of Geography and Resources Sciences Sichuan Normal University China Department of Computer Science Yili Normal School Yining China State Key Laboratory of Software Engineering Wuhan University of China China
Particle swarm optimization (PSO) has shown its good performance on numerical function problems. However, on some multimodal functions the PSO easily suffers from premature convergence because of the rapid decline in ... 详细信息
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