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Publication search results
found 189 matches
- 2024
- Yi Xu, Jie Zhang, Weikang Sun:
Hierarchical algorithm for calculating approximation regions based on granular computing. Int. J. Mach. Learn. Cybern. 15(3): 985-1005 (2024) - Gleb V. Ryzhakov, Andrei Chertkov, Artem Basharin, Ivan V. Oseledets:
Black-Box Approximation and Optimization with Hierarchical Tucker Decomposition. CoRR abs/2402.02890 (2024) - 2023
- Vassilios Yfantis, Simon Wenzel, Achim Wagner, Martin Ruskowski, Sebastian Engell:
Hierarchical distributed optimization of constraint-coupled convex and mixed-integer programs using approximations of the dual function. EURO J. Comput. Optim. 11: 100058 (2023) - Benjamin Moseley, Joshua R. Wang:
Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search. J. Mach. Learn. Res. 24: 1:1-1:36 (2023) - Aristide Grange, Imed Kacem, Sébastien Martin, Sarah Minich:
Fully polynomial time approximation scheme for the pagination problem with hierarchical structure of tiles. RAIRO Oper. Res. 57(1): 1-16 (2023) - Junyi Zhang, Angelos Dassios:
Truncated Poisson-Dirichlet approximation for Dirichlet process hierarchical models. Stat. Comput. 33(1): 30 (2023) - Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni:
Differentially Private Hierarchical Clustering with Provable Approximation Guarantees. ICML 2023: 14353-14375 - Tucker Hartland, Georg Stadler, Mauro Perego, Kim Liegeois, Noemi Petra:
Hierarchical off-diagonal low-rank approximation of Hessians in inverse problems, with application to ice sheet model initializaiton. CoRR abs/2301.03644 (2023) - Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni:
Differentially-Private Hierarchical Clustering with Provable Approximation Guarantees. CoRR abs/2302.00037 (2023) - Ivan Baburin, Jonas Ballani, John W. Peterson, David Knezevic:
Hierarchical Block Low-rank Approximation of Cavity Radiation. CoRR abs/2305.06891 (2023) - Ke Chen, Daniel Appelö, Tracy Babb, Per-Gunnar Martinsson:
Fast and high-order approximation of parabolic equations using hierarchical direct solvers and implicit Runge-Kutta methods. CoRR abs/2306.02526 (2023) - Keerthi Gaddameedi, Severin Reiz, Tobias Neckel, Hans-Joachim Bungartz:
Efficient and Scalable Kernel Matrix Approximations using Hierarchical Decomposition. CoRR abs/2311.06115 (2023) - 2022
- Stefano Cipolla, Jacek Gondzio:
Training very large scale nonlinear SVMs using Alternating Direction Method of Multipliers coupled with the Hierarchically Semi-Separable kernel approximations. EURO J. Comput. Optim. 10: 100046 (2022) - Changle Sun, Haitao Li:
Parallel fuzzy relation matrix factorization towards algebraic formulation, universal approximation and interpretability of MIMO hierarchical fuzzy systems. Fuzzy Sets Syst. 450: 68-86 (2022) - Daniel Seibel:
Boundary element methods for the wave equation based on hierarchical matrices and adaptive cross approximation. Numerische Mathematik 150(2): 629-670 (2022) - Mabel Morales-Otero, Virgilio Gómez-Rubio, Vicente Núñez-Antón:
Fitting double hierarchical models with the integrated nested Laplace approximation. Stat. Comput. 32(4): 62 (2022) - Xin Yang, Yujie Li, Dun Liu, Tianrui Li:
Hierarchical Fuzzy Rough Approximations With Three-Way Multigranularity Learning. IEEE Trans. Fuzzy Syst. 30(9): 3486-3500 (2022) - Jocelyn Meyron, Tristan Roussillon:
Approximation of Digital Surfaces by a Hierarchical Set of Planar Patches. DGMM 2022: 409-421 - Vassilios Yfantis, Nigora Gafur, Achim Wagner, Martin Ruskowski:
Hierarchical Distributed Model Predictive Control based on Dual Decomposition and Quadratic Approximation. MED 2022: 914-919 - Chao Chen, Per-Gunnar Martinsson:
Solving Linear Systems on a GPU with Hierarchically Off-Diagonal Low-Rank Approximations. SC 2022: 84:1-84:15 - Chao Chen, Per-Gunnar Martinsson:
Solving Linear Systems on a GPU with Hierarchically Off-Diagonal Low-Rank Approximations. CoRR abs/2208.06290 (2022) - 2021
- Faisal AlGashaam, Kien Nguyen, Jasmine Banks, Vinod Chandran, Tuan-Anh Do, Mohamed I. Alkanhal:
Hierarchical fusion network for periocular and iris by neural network approximation and sparse autoencoder. Mach. Vis. Appl. 32(1): 15 (2021) - Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty:
Model-Free Optimal Control of Linear Multiagent Systems via Decomposition and Hierarchical Approximation. IEEE Trans. Control. Netw. Syst. 8(3): 1069-1081 (2021) - Xianrui Meng, Dimitrios Papadopoulos, Alina Oprea, Nikos Triandopoulos:
Private Hierarchical Clustering and Efficient Approximation. CCSW 2021: 3-20 - Anand Rajagopalan, Fabio Vitale, Danny Vainstein, Gui Citovsky, Cecilia M. Procopiuc, Claudio Gentile:
Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees. ICML 2021: 8799-8809 - Bogdan-Adrian Manghiuc, He Sun:
Hierarchical Clustering: O(1)-Approximation for Well-Clustered Graphs. NeurIPS 2021: 9278-9289 - Wilson Estécio Marcílio-Jr, Danilo Medeiros Eler, Fernando V. Paulovich, Rafael Messias Martins:
HUMAP: Hierarchical Uniform Manifold Approximation and Projection. CoRR abs/2106.07718 (2021) - Stefano Cipolla, Jacek Gondzio:
Training very large scale nonlinear SVMs using Alternating Direction Method of Multipliers coupled with the Hierarchically Semi-Separable kernel approximations. CoRR abs/2108.04167 (2021) - Bogdan-Adrian Manghiuc, He Sun:
Hierarchical Clustering: O(1)-Approximation for Well-Clustered Graphs. CoRR abs/2112.09055 (2021) - 2020
- Evangelos Chatziafratis:
Hierarchical clustering with global objectives : approximation algorithms and hardness results. Stanford University, USA, 2020
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