Výsledky vyhledávání - "stochastic algorithm"

A new stochastic slime mould optimization algorithm for the estimation of solar photovoltaic cell parameters Autor Kumar, C., Raj, T. Dharma, Premkumar, M., Raj, T. Dhanesh

“…With the help of accurate solar photovoltaic (PV) cell modeling, the PV system's performance can be enhanced. However, PV cell modeling is erroneously caused…”
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IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies Autor Nguyen, Lam-Tung, Schmidt, Heiko A., von Haeseler, Arndt, Minh, Bui Quang

“…Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent…”
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Optimization of the process for separating ethylene glycol and 1,2-butanediol using reactive distillation-assisted separation based on a parallel stochastic algorithm framework Autor Kong, Jie, Liu, Wenshuo, Fu, Yu, Zhang, Xin, Li, Yuanxin, Li, Jun, Sun, Lanyi

“…The process of separating ethylene glycol and 1,2-butanediol with reactive distillation is intricate, with many variables involved, leading to a time-consuming…”
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Gradient-free algorithm for saddle point problems under overparametrization Autor Statkevich, Ekaterina, Bondar, Sofiya, Dvinskikh, Darina, Gasnikov, Alexander, Lobanov, Aleksandr

“…This paper focuses on solving a stochastic saddle point problem (SPP) under an overparameterized regime for the case, when the gradient computation is…”
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Stochastic privacy-preserving methods for nonconvex sparse learning Autor Liang, Guannan, Tong, Qianqian, Ding, Jiahao, Pan, Miao, Bi, Jinbo

“…Sparse learning is essential in mining high-dimensional data. Iterative hard thresholding (IHT) methods are effective for optimizing nonconvex objectives for…”
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Analysis based on statistical distributions: A practical approach for stochastic solvers using discrete and continuous problems Autor Herzog, Jana, Brest, Janez, Bošković, Borko

“…This paper proposes an approach for the analysis and comparison of stochastic solvers based on the statistical distribution of their variables. The observed…”
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Stochastic algorithm-based optimization using artificial intelligence/machine learning models for sorption enhanced steam methane reformer reactor Autor Bishnu, Sumit K., Alnouri, Sabla Y., Al Mohannadi, Dhabia M.

“…•A novel approach to real time optimization of SESMR is introduced.•It combines the strength of stochastic algorithms with data-driven models.•Solver can…”
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Hessian regularization of deep neural networks: A novel approach based on stochastic estimators of Hessian trace Autor Liu, Yucong, Yu, Shixing, Lin, Tong

“…[Display omitted] •Connecting Hessian trace with a generalization error bound.•Flat minima of loss landscape and stability analysis in dynamical…”
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Uniform-in-time estimates for mean-field type SDEs and applications Autor Bao, Jianhai, Hao, Jiaqing

“…Via constructing an asymptotic coupling by reflection, in this paper we establish uniform-in-time estimates on probability distributions for mean-field type…”
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PISAD: De novo peptide design for target protein with iterative stochastic searching algorithm and docking assessment Autor Zhang, Qiang, Wang, Boqian, Jessica, Ghalandari, Behafarid, Chen, Youming, Xu, Zhixiao, Zhou, Quanhong, Ding, Xianting

“…Rapid identification of peptides that bind specifically to a target protein is essential for disease diagnostics and drug development. However, de novo design…”
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A stochastic primal–dual algorithm for composite optimization with a linear operator Autor Wen, Meng, Zhang, Yongqiang, Tang, Yuchao, Cui, Angang, Peng, Jigen

“…This paper introduces a stochastic primal–dual algorithm tailored for solving optimization problems involving the sum of three functions with a linear…”
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Weighted Salp Swarm Algorithm and its applications towards optimal sensor deployment Autor Mudassar Ali Syed, Raziuddin Syed

“…Recent trends indicate the rapid growth of nature-inspired techniques in the field of optimization. Salp Swarm Algorithm (SSA) is a recently introduced…”
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Stochastic feature selection with annealing and its applications to streaming data Autor Sun, Lizhe, Barbu, Adrian

“…Feature selection is an important topic in high-dimensional statistics and machine learning, for prediction and understanding the underlying phenomena. It has…”
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Multi-scale quantum harmonic oscillator algorithm for global numerical optimization Autor Wang, Peng, Ye, Xinggui, Li, Bo, Cheng, Kun

“…[Display omitted] •A novel multi-scale quantum harmonic oscillator algorithm is proposed.•Applying quantum wavefunction convergence to function…”
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Distributed Stochastic Proximal Algorithm With Random Reshuffling for Nonsmooth Finite-Sum Optimization Autor Jiang, Xia, Zeng, Xianlin, Sun, Jian, Chen, Jie, Xie, Lihua

“…The nonsmooth finite-sum minimization is a fundamental problem in machine learning. This article develops a distributed stochastic proximal-gradient algorithm…”
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Almost-Sure Finite-Time Stochastic Min-Max Consensus Autor Lagos, Athanasios-Rafail, Psillakis, Haris E., Gkesoulis, Athanasios K.

“…In this brief, a novel stochastic minimum-maximum finite-time consensus protocol is proposed. The stochastic consensus protocol is then applied to a system of…”
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Asynchronous parallel stochastic Quasi-Newton methods Autor Tong, Qianqian, Liang, Guannan, Cai, Xingyu, Zhu, Chunjiang, Bi, Jinbo

“…Although first-order stochastic algorithms, such as stochastic gradient descent, have been the main force to scale up machine learning models, such as deep…”
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Two-Dimensional Magnetotelluric Modeling Based on Stochastic Path Integral: TE Case Autor Zhou, Hongyu, Li, Maokun, Yang, Fan, Xu, Shenheng

“…In this study, we investigate the application of the stochastic path integral (SPI) for 2-D magnetotelluric (MT) modeling. Our goal is to assess whether…”
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Energy optimization and digitization of the PV energy balance between production and consumption Autor Hraich, Abdellatif, Haddi, Ali

“…·Smart grids integrate information technologies to enhance the management of renewable energy sources as well as managing the energy balance between production…”
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Improved Algorithms for Stochastic Pore Network Generation for Porous Materials Autor Shi, Chengnan, Janssen, Hans

“…Pore network modeling is widely applied to investigate transport phenomena in porous media, as this approach allows for efficient and accurate pore-scale…”
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