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检索条件"主题词=Scalable Algorithm"
75 条 记 录,以下是1-10 订阅
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A scalable algorithm for the decomposition of minimally rigid graph
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MEASUREMENT & CONTROL 2020年 第5-6期53卷 807-813页
作者: Zhu, Yadong Wang, Qin Li, Shengquan Yang, Yuequan Yangzhou Univ Yangzhou Jiangsu Peoples R China Yangzhou Polytech Univ Yangzhou Jiangsu Peoples R China
The rigid graph needs to be decomposed to solve the multi-equilibrium problem of the multi-agent formation control based on navigation function method. In this paper, a theorem and a scalable algorithm based on the He... 详细信息
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Battlefield Optimization algorithm
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EXPERT SYSTEMS WITH APPLICATIONS 2025年 266卷
作者: Setiawan, Dadang Suyanto, Suyanto Erfianto, Bayu Gozali, Alfian Akbar Telkom Univ Sch Comp Bandung Indonesia Telkom Univ Ctr Excellence Artificial Intelligence Learning & Bandung Indonesia
This paper proposes anew metaheuristic optimization algorithm named Battlefield Optimization algorithm (BfOA). As the name implies, it is inspired by the simulation of a battlefield, where two opposing squads battle e... 详细信息
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scalable SYMMETRIC TUCKER TENSOR DECOMPOSITION
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SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS 2024年 第4期45卷 1746-1781页
作者: Jin, Ruhui Kileel, Joe Kolda, Tamara g. Ward, Rachel Univ Texas Austin Dept Math Austin TX 78712 USA MathSci Ai Dublin CA 94568 USA
We study the best low-rank Tucker decomposition of symmetric tensors. The motivating application is decomposing higher-order multivariate moments. Moment tensors have special structure and are important to various dat... 详细信息
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GPUTucker: Large-Scale GPU-Based Tucker Decomposition Using Tensor Partitioning
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EXPERT SYSTEMS WITH APPLICATIONS 2024年 第PartA期237卷
作者: Lee, Jihye Han, Donghyoung Kwon, Oh-Kyoung Chon, Kang-Wook Kim, Min-Soo Daegu Gyeongbuk Inst Sci & Technol DGIST Dept Elect Engn & Comp Sci 333 Techno Jjungang Daero Daegu 42988 South Korea GraphAI 157 Daehak Ro Daejeon 34138 South Korea Korea Inst Sci & Technol Informat KISTI Natl Inst Supercomp & Networking 245 Daehak Ro Daejeon 34141 South Korea Korea Univ Technol & Educ Sch Comp Sci & Engn 1600 Chungjeol Ro Cheonan Si 31253 Chungcheongnam South Korea Korea Adv Inst Sci & Technol KAIST Sch Comp 291 Daehak Ro Daejeon 34141 South Korea
Tucker decomposition is used extensively for modeling multi-dimensional data represented as tensors. Owing to the increasing magnitude of nonzero values in real-world tensors, a growing demand has emerged for expediti... 详细信息
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scalable algorithms for signal reconstruction by leveraging similarity joins
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VLDB JOURNAL 2020年 第2-3期29卷 681-707页
作者: Asudeh, Abolfazl Augustine, Jees Nazi, Azade Thirumuruganathan, Saravanan Zhang, Nan Das, Gautam Srivastava, Divesh Univ Illinois Chicago IL 60607 USA Univ Texas Arlington Arlington TX 76019 USA Google AI Mountain View CA USA HBKU QCRI Ar Rayyan Qatar Penn State Univ State Coll PA USA AT&T Labs Res Florham Pk NJ USA
Signal reconstruction problem (SRP) is an important optimization problem where the objective is to identify a solution to an underdetermined system of linear equations that is closest to a given prior. It has a substa... 详细信息
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A scalable Space-Time Domain Decomposition Approach for Solving Large Scale Nonlinear Regularized Inverse Ill Posed Problems in 4D Variational Data Assimilation
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JOURNAL OF SCIENTIFIC COMPUTING 2022年 第2期91卷 1-31页
作者: D'Amore, Luisa Constantinescu, Emil Carracciuolo, Luisa Univ Naples Federico II Naples Italy Argonne Natl Lab Math & Comp Sci Div Lemont IL USA Ist & Polimeri Compositi & Biomat CNR IPCB CNR Naples Italy
We address the development of innovative algorithms designed to solve the strong-constraint Four Dimensional Variational Data Assimilation (4DVar DA) problems in large scale applications. We present a space-time decom... 详细信息
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An Accurate and Efficient Large-Scale Regression Method Through Best Friend Clustering
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IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2022年 第11期33卷 3129-3140页
作者: Li, Kun Yuan, Liang Zhang, Yunquan Chen, Gongwei Chinese Acad Sci Inst Comp Technol State Key Lab Comp Architecture Beijing 100190 Peoples R China Univ Chinese Acad Sci UCAS Sch Comp Sci & Technol Beijing 100190 Peoples R China Chinese Acad Sci Inst Comp Technol Key Lab Intelligent Informat Proc Beijing 100190 Peoples R China
As the data size in Machine Learning fields grows exponentially, it is inevitable to accelerate the computation by utilizing the ever-growing large number of available cores provided by high-performance computing hard... 详细信息
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SGMiner: A Fast and scalable GPU-Based Frequent Pattern Miner on SSDs
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IEEE ACCESS 2022年 10卷 62502-62519页
作者: Chon, Kang-Wook Yi, Eunjeong Kim, Min-Soo Korea Inst Sci & Technol Informat Div Natl Supercomp Daejeon South Korea Daegu Gyeongbuk Inst Sci & Technol Dept Informat & Commun Engn Daegu South Korea Korea Adv Inst Sci & Technol Sch Comp Daejeon South Korea
Frequent itemset mining is extensively employed as an essential data mining technique. Nevertheless, as the data size grows, the applicability of this method decreases owing to the relatively poor performance of the e... 详细信息
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Network-Flow-Based Efficient Vehicle Dispatch for City-Scale Ride-Hailing Systems
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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2022年 第6期23卷 5526-5538页
作者: Xu, Yuhang Wang, Wanyuan Xiong, Guangwei Liu, Xiang Wu, Weiwei Liu, Kai Southeast Univ Sch Comp Sci & Engn Nanjing 211189 Peoples R China Chongqing Univ Sch Comp Sci Chongqing 400030 Peoples R China
Ride-hailing systems (RHSs) provide passengers with convenient and flexible mobility services, have played an important role in modern urban transportation. With the limited vehicles, RHSs wish to optimize the dispatc... 详细信息
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A scalable algorithm for Constructing Frequent Pattern Tree
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INTERNATIONAL JOURNAL OF INTELLIGENT INFORMATION TECHNOLOGIES 2014年 第1期10卷 42-56页
作者: Abdullah, Zailani Herawan, Tutut Noraziah, A. Deris, Mustafa Univ Malaysia Dept Comp Sci Terengganu Malaysia Univ Ahmad Dahlan Dept Math Educ Yogyakarta Indonesia Univ Malaysia Comp Syst & Software Engn Kuantan Malaysia Univ Tun Hussein Onn Malaysia Comp Sci & Informat Technol Johor Baharu Malaysia
Frequent Pattern Tree (FP-Tree) is a compact data structure of representing frequent itemsets. The construction of FP-Tree is very important prior to frequent patterns mining. However, there have been too limited effo... 详细信息
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