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检索条件"主题词=Stochastic algorithms"
185 条 记 录,以下是41-50 订阅
排序:
Analysis of the Least Mean Square algorithm with processing delays in the adaptive arm for Gaussian inputs for system identification
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SIGNAL PROCESSING 2024年 217卷
作者: Bershad, Neil J. Bermudez, Jose C. M. Univ Calif Irvine Dept Elect Engn & Comp Sci Irvine CA 92697 USA Univ Fed Santa Catarina Dept Elect & Elect Engn Florianopolis SC Brazil
This paper analyzes the effect of a processing delay on the Least Mean Squares (LMS) algorithm for a system identification problem when the processing delay is in the adaptive arm of the filter. Thus the sensing of th... 详细信息
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Block-wise primal-dual algorithms for large-scale doubly penalized ANOVA modeling
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2024年 194卷
作者: Fu, Penghui Tan, Zhiqiang Rutgers State Univ Dept Stat Piscataway NJ 08854 USA Chinese Univ Hong Kong Shenzhen Sch Data Sci Shenzhen 518172 Guangdong Peoples R China
For multivariate nonparametric regression, doubly penalized ANOVA modeling (DPAM) has recently been proposed, using hierarchical total variations (HTVs) and empirical norms as penalties on the component functions such... 详细信息
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Inhomogeneous functionals and approximations of invariant distributions of ergodic diffusions: Central limit theorem and moderate deviation asymptotics
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stochastic PROCESSES AND THEIR APPLICATIONS 2021年 133卷 74-110页
作者: Ganguly, Arnab Sundar, P. Louisiana State Univ Dept Math Baton Rouge LA 70803 USA
The paper studies asymptotics of inhomogeneous integral functionals of an ergodic diffusion process under the effect of discretization. Convergence to the corresponding functionals of the invariant distribution is sho... 详细信息
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stochastic Analysis of the Recursive Least Squares Algorithm for Cyclostationary Colored Inputs
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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2020年 第0期68卷 676-686页
作者: Eweda, Eweda Bershad, Neil J. Bermudez, Jose C. M. C4 Adv Solut Abu Dhabi U Arab Emirates Univ Calif Irvine Dept Elect Engn & Comp Sci Irvine CA 92660 USA Univ Fed Santa Catarina Dept Elect Engn Florianopolis SC Brazil Catholic Univ Pelotas UCPel Pelotas Grad Program Elect Engn & Comp Pelotas RS Brazil
This paper studies the stochastic behavior of the recursive least squares (RLS) algorithm in a system identification framework for a cyclostationary colored input. The input cyclostationary signal is modeled by a colo... 详细信息
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A correctness result for synthesizing plans with loops in stochastic domains
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INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 2020年 119卷 92-107页
作者: Treszkai, Laszlo Belle, Vaishak Univ Edinburgh Sch Informat Edinburgh Midlothian Scotland Alan Turing Inst London England
Finite-state controllers (FSCs), such as plans with loops, are powerful and compact representations of action selection widely used in robotics, video games and logistics. There has been steady progress on synthesizin... 详细信息
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Statistical Metamorphic Testing of Neural Network Based Intrusion Detection Systems
Statistical Metamorphic Testing of Neural Network Based Intr...
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IEEE International Conference on Cyber Security and Resilience (IEEE CSR)
作者: Reitman, Faqeer Ur Izurieta, Clemente Montana State Univ Gianforte Sch Comp Bozeman MT 59717 USA Montana State Univ Gianforte Sch Comp Idaho Natl Labs Bozeman MT USA
Testing computationally complex neural network-based applications (i.e. network intrusion detection systems) is a challenging task due to the absence of a test oracle. Metamorphic testing is a method to potentially so... 详细信息
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Identification of Mechanical Parameters in Flexible Drive Systems Using Hybrid Particle Swarm Optimization Based on the Quasi-Newton Method
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algorithms 2023年 第8期16卷 371-371页
作者: Hafez, Ishaq Dhaouadi, Rached Amer Univ Sharjah Coll Engn Mechatron Grad Program Sharjah 26666 U Arab Emirates Amer Univ Sharjah Coll Engn Dept Elect Engn Sharjah 26666 U Arab Emirates
This study presents hybrid particle swarm optimization with quasi-Newton (HPSO-QN), a hybrid optimization method for accurately identifying mechanical parameters in two-mass model (2MM) systems. These systems are comm... 详细信息
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stochastic Analysis of the LMS and NLMS algorithms for Cyclostationary White Gaussian and Non-Gaussian Inputs
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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2018年 第18期66卷 4753-4765页
作者: Eweda, Eweda Bershad, Neil J. Bermudez, Jose Carlos M. C4 Adv Solut Abu Dhabi 128627 U Arab Emirates Univ Calif Irvine Dept Elect Engn & Comp Sci Irvine CA 92660 USA Univ Fed Santa Catarina Dept Elect Engn BR-88040900 Florianopolis SC Brazil
This paper studies the stochastic behavior of the LMS and NLMS algorithms in a system identification framework for a cyclostationary white input without assuming a Gaussian distribution for the input. The input cyclos... 详细信息
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GLOBAL LINEAR CONVERGENCE OF EVOLUTION STRATEGIES ON MORE THAN SMOOTH STRONGLY CONVEX FUNCTIONS
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SIAM JOURNAL ON OPTIMIZATION 2022年 第2期32卷 1402-1429页
作者: Akimoto, Youhei Auger, Anne Glasmachers, Tobias Morinaga, Daiki Univ Tsukuba Fac Engn Informat & Syst Tsukuba Ibaraki 3058571 Japan RIKEN AIP Tsukuba Ibaraki 3058571 Japan Ecole Polytech IP Paris INRIA F-91128 Paris France Ecole Polytech IP Paris CMAP F-91128 Paris France Ruhr Univ Bochum Inst Neural Computat D-44801 Bochum Germany Univ Tsukuba Dept Comp Sci Tsukuba Ibaraki 3058571 Japan
Evolution strategies (ESs) are zeroth-order stochastic black-box optimization heuristics invariant to monotonic transformations of the objective function. They evolve a multivariate normal distribution, from which can... 详细信息
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stochastic Methods for Solving High-Dimensional Partial Differential Equations  13th
Stochastic Methods for Solving High-Dimensional Partial Diff...
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13th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (MCQMC)
作者: Billaud-Friess, Marie Macherey, Arthur Nouy, Anthony Prieur, Clementine Cent Nantes LMJL UMR CNRS 6629 1 Rue Noe F-44321 Nantes France Univ Grenoble Alpes INRIA CNRS Grenoble INP Inst EngnLJK F-38000 Grenoble France
We propose algorithms for solving high-dimensional Partial Differential Equations (PDEs) that combine a probabilistic interpretation of PDEs, through Feynman-Kac representation, with sparse interpolation. Monte-Carlo ... 详细信息
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