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检索条件"主题词=Stochastic algorithms"
185 条 记 录,以下是21-30 订阅
排序:
Using Decomposed Error for Reproducing Implicit Understanding of algorithms
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EVOLUTIONARY COMPUTATION 2024年 第1期32卷 49-68页
作者: Owen, Caitlin A. Dick, Grant Whigham, Peter A. Univ Otago Dept Informat Sci Dunedin New Zealand
Reproducibility is important for having confidence in evolutionary machine learning algorithms. Although the focus of reproducibility is usually to recreate an aggregate prediction error score using fixed random seeds... 详细信息
来源: 评论
Deep Neural Network-based Inverse Analysis with Application to a Rockfill Dam
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KSCE JOURNAL OF CIVIL ENGINEERING 2024年 第1期28卷 155-168页
作者: Shahzadi, Gullnaz Soulaimani, Azzeddine Ecole Technol Super Dept Mech Engn Montreal PQ H3C 1K3 Canada
The availability of significant computational resources has played an essential role in developing advanced numerical models for the design and safety evaluation of complex structures such as rockfill dams. Determinin... 详细信息
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Analysis of the applicability and results of swarm intelligence tools for the positioning of Energy Storage Systems
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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2024年 163卷
作者: Divasson-J, Asier Santamaria, Itxaso Aranzabal Landaribar, Miren T. Bedialauneta Aguirre, Paula Castillo Univ Deusto Unibertsitate Etorb 24 Bilbao 48007 Biscay Spain Univ Basque Country UPV EHU Ingeniero Torres Quevedo Pl 1 Bilbao 48013 Biscay Spain Univ Basque Country UPV EHU Otaola Hiribidea 29 Gipuzkoa 20600 Eibar Spain
The integration of renewable energy is transforming traditional energy systems, blurring the distinction between producers and consumers and shifting towards a distributed grid network. This change demands innovative ... 详细信息
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Asset and Factor Risk Budgeting: a balanced approach
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QUANTITATIVE FINANCE 2025年 第2期25卷 181-195页
作者: Cetingoz, Adil Rengim Gueant, Olivier Univ Paris 1 Pantheon sorbonne Ctr Econ Sorbonne 106 Blvd Hop F-75642 Paris 13 France
Portfolio optimization methods have evolved significantly since Markowitz introduced the mean-variance framework in 1952. While the theoretical appeal of this approach is undeniable, its practical implementation poses... 详细信息
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Nonsmooth Optimization over the Stiefel Manifold and Beyond: Proximal Gradient Method and Recent Variants
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SIAM REVIEW 2024年 第2期66卷 319-352页
作者: Chen, Shixiang Ma, Shiqian So, Anthony Man-Cho Zhang, Tong Univ Sci & Technol China Sch Math Sci Hefei Anhui Peoples R China Rice Univ Dept Computat Appl Math & Operat Res Houston TX 77005 USA Chinese Univ Hong Kong Dept Syst Engn & Engn Management Shatin Hong Kong Peoples R China Hong Kong Univ Sci & Technol Clear Water Bay Hong Kong Peoples R China
We consider optimization problems over the Stiefel manifold whose objective function is the summation of a smooth function and a nonsmooth function. Existing methods for solving this class of problems converge slowly ... 详细信息
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SQuadMDS: A lean stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP
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NEUROCOMPUTING 2022年 503卷 17-27页
作者: Lambert, Pierre de Bodt, Cyril Verleysen, Michel Lee, John A. UCLouvain ICTEAM ELEN Pl Levant 3bte L5-03-02 B-1348 Louvain La Neuve Belgium MIT Media Lab Human Dynam Grp 20 Ames StWiesner Bldg E15 Cambridge MA 02139 USA UCLouvain IREC MIRO Ave Hippocrate 55 B1-54-07 B-1200 Brussels Belgium
Multidimensional scaling is a process that aims to embed high dimensional data into a lower -dimensional space;this process is often used for the purpose of data visualisation. Common multidimen-sional scaling algorit... 详细信息
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stochastic Neuromorphic Circuits for Solving MAXCUT  37
Stochastic Neuromorphic Circuits for Solving MAXCUT
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37th IEEE International Parallel and Distributed Processing Symposium (IPDPS)
作者: Theilman, Bradley H. Wang, Yipu Parekht, Ojas Severa, William Smith, J. Darby Aimone, James B. Sandia Natl Labs Neural Explorat & Res Lab POB 5800 Albuquerque NM 87185 USA Sandia Natl Labs Discrete Math & Optimizat Albuquerque NM USA
Finding the maximum cut of a graph (MAXCUT) is a classic optimization problem that has motivated parallel algorithm development. While approximate algorithms to MAXCUT offer attractive theoretical guarantees and demon... 详细信息
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stochastic BIAS-ACCELERATED SUBSET SELECTION ALGORITHM FOR JOINT LEARNING OF SAMPLING PATTERN AND RECONSTRUCTION IN ACCELERATED MRI  20
STOCHASTIC BIAS-ACCELERATED SUBSET SELECTION ALGORITHM FOR J...
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20th IEEE International Symposium on Biomedical Imaging (ISBI)
作者: Zibetti, Marcelo V. W. Regatte, Ravinder R. NYU Grossman Sch Med New York NY 10003 USA
This work proposes and illustrates a stochastic version of the bias-accelerated subset selection (BASS) algorithm used to learn the sampling pattern (SP) in accelerated Cartesian MRI problems. Recently, BASS was combi... 详细信息
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Discrete Optimization Algorithm Based on Probability Distribution with Transformation of Target Values
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PROGRAMMING AND COMPUTER SOFTWARE 2024年 第6期50卷 445-456页
作者: Sarin, K. S. Tomsk State Univ Control Syst & Radioelect Tomsk 634050 Russia
Problems of search optimization in a discrete space, particularly, in a binary space where a variable can take only two values, are of great practical importance. This paper proposes a new population-based discrete op... 详细信息
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Application of deterministic, stochastic, and hybrid methods for cloud provider selection
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JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS 2022年 第1期11卷 1-23页
作者: de Moraes, Lucas Borges Parpinelli, Rafael Stubs Fiorese, Adriano Dept Comp Sci DCC Joinville SC Brazil Grad Program Appl Comp PPGCA Joinville SC Brazil Santa Catarina State Univ UDESC Joinville SC Brazil
Cloud Computing popularization inspired the emergence of many new cloud service providers. The significant number of cloud providers available drives users to complex or even impractical choice of the most suitable on... 详细信息
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