Suchergebnisse - "scalable algorithms"

A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems Part I: The Linearized Case, with Application to Global Seismic Inversion von Bui-Thanh, Tan, Ghattas, Omar, Martin, James, Stadler, Georg

“… We present a computational framework for estimating the uncertainty in the numerical solution of linearized infinite-dimensional statistical inverse problems …”
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Value-added tax fraud detection with scalable anomaly detection techniques von Vanhoeyveld, Jellis, Martens, David, Peeters, Bruno

“… The tax fraud detection domain is characterized by very few labelled data (known fraud/legal cases) that are not representative for the population due to …”
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Fast hardware-aware matrix-free algorithms for higher-order finite-element discretized matrix multivector products on distributed systems von Panigrahi, Gourab, Kodali, Nikhil, Panda, Debashis, Motamarri, Phani

“… Recent hardware-aware matrix-free algorithms for higher-order finite-element (FE) discretized matrix-vector multiplications reduce floating point operations …”
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Large-scale periodic scheduling in time-sensitive networks von Vlk, Marek, Brejchová, Kateřina, Hanzálek, Zdeněk, Tang, Siyu

“… The real-time and safety-critical demands posed in a variety of industrial systems can now be handled on the Ethernet architecture by virtue of the IEEE …”
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Scalable User Rate and Energy-Efficiency Optimization in Cell-Free Massive MIMO von Tuan, H. D., Nasir, A. A., Ngo, H. Q., Dutkiewicz, E., Poor, H. V.

“… This paper considers a cell-free massive multiple-input multiple-output network (cfm-MIMO) with a massive number of access points (APs) distributed across an …”
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Fast linear model trees by PILOT von Raymaekers, Jakob, Rousseeuw, Peter J., Verdonck, Tim, Yao, Ruicong

“… Linear model trees are regression trees that incorporate linear models in the leaf nodes. This preserves the intuitive interpretation of decision trees and at …”
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p4est : Scalable Algorithms for Parallel Adaptive Mesh Refinement on Forests of Octrees von Burstedde, Carsten, Wilcox, Lucas C., Ghattas, Omar

“… (ProQuest: ... denotes formulae/symbols omitted.)The authors present scalable algorithms for parallel adaptive mesh refinement and coarsening (AMR), …”
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RIS-Aided Multiple-Input Multiple-Output Broadcast Channel Capacity von Tuan, H. D., Nasir, A. A., Dutkiewicz, E., Poor, H. V., Hanzo, L.

“… Scalable algorithms are conceived for obtaining the sum-rate capacity of the reconfigurable intelligent surface (RIS)-aided multiuser (MU) multiple-input …”
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P3DFFT: A Framework for Parallel Computations of Fourier Transforms in Three Dimensions von Pekurovsky, Dmitry

“… Fourier and related transforms are a family of algorithms widely employed in diverse areas of computational science, notoriously difficult to scale on …”
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Fast and Robust Low-Rank Learning over Networks: A Decentralized Matrix Quantile Regression Approach von Qiao, Nan, Chen, Canyi

“… Decentralized low-rank learning is an active research domain with extensive practical applications. A common approach to producing low-rank and robust …”
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Big Learning with Bayesian methods von Zhu, Jun, Chen, Jianfei, Hu, Wenbo, Zhang, Bo

“… The explosive growth in data volume and the availability of cheap computing resources have sparked increasing interest in Big learning, an emerging subfield …”
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Chord: a scalable peer-to-peer lookup protocol for Internet applications von Stoica, I., Morris, R., Liben-Nowell, D., Karger, D.R., Kaashoek, M.F., Dabek, F., Balakrishnan, H.

“… A fundamental problem that confronts peer-to-peer applications is the efficient location of the node that stores a desired data item. This paper presents …”
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HPC-optimized hybrid XGBoost-MLP model for large-scale pellet metallurgical performance prediction von Bai, Yunjie, Wu, Xuezhi, Yang, Aimin

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Parallelization and scalability analysis of inverse factorization using the chunks and tasks programming model von Artemov, Anton G., Rudberg, Elias, Rubensson, Emanuel H.

“… •All the three considered algorithms scale linearly with system size.•The critical path lengths influence the weak scaling of the algorithms.•Localized inverse …”
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Locality-aware parallel block-sparse matrix-matrix multiplication using the Chunks and Tasks programming model von Rubensson, Emanuel H., Rudberg, Elias

“… •We present a method for parallel block-sparse matrix-matrix multiplication.•A distributed quadtree matrix representation allows exploitation of data …”
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DC-NMF: nonnegative matrix factorization based on divide-and-conquer for fast clustering and topic modeling von Du, Rundong, Kuang, Da, Drake, Barry, Park, Haesun

“… The importance of unsupervised clustering and topic modeling is well recognized with ever-increasing volumes of text data available from numerous sources …”
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A scalable solution strategy for high-order stabilized finite-element solvers using an implicit line preconditioner von Ahrabi, Behzad R., Mavriplis, Dimitri J.

“… This paper presents a robust, efficient, and strongly scalable solution methodology for simulation of complex turbulent flows on unstructured grids. The …”
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A Distributed and Scalable Processing Method Based Upon ADMM von Erseghe, T.

“… The alternating direction multiplier method (ADMM) was originally devised as an iterative method for solving convex minimization problems by means of …”
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AMIDST: A Java toolbox for scalable probabilistic machine learning von Masegosa, Andrés R., Martínez, Ana M., Ramos-López, Darío, Cabañas, Rafael, Salmerón, Antonio, Langseth, Helge, Nielsen, Thomas D., Madsen, Anders L.

“… The AMIDST Toolbox is an open source Java software for scalable probabilistic machine learning with a special focus on (massive) streaming data. The toolbox …”
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Graphing trillions of triangles von Burkhardt, Paul

“… The increasing size of Big Data is often heralded but how data are transformed and represented is also profoundly important to knowledge discovery, and this is …”
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