Search Results - approximation gradient based algorithm

A gradient approximation algorithm based weight momentum for restricted Boltzmann machine by Shen, Huihui, Li, Hongwei

“…•A gradient approximation algorithm is proposed for the restricted Boltzmann machine…”
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MIMO feed-forward design in wafer scanners using a gradient approximation-based algorithm by Heertjes, Marcel, Hennekens, Daan, Steinbuch, Maarten

“… The coefficients in this structure are obtained from a gradient approximation-based algorithm. The aid of the FIR filter structure is mostly through its efficient (and limited…”
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Matrix rational H2 approximation : A gradient algorithm based on schur analysis by FULCHERI, P, OLIVI, M

“…This paper deals with the rational approximation of specified order n to transfer functions which are assumed to be matrix-valued functions in the Hardy space for the complement of the closed unit…”
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A new vortex search algorithm with gradient-based approximation for optimization of the fore part of KCS container ship by Huang, Yujia, Hou, Guoxiang, Cheng, Xide, Feng, Baiwei, Gao, Liang, Xiao, Mi

“…In this research, a new vortex search algorithm with gradient-based approximation (VS-G…”
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Matrix Rational H 2 Approximation: A Gradient Algorithm Based on Schur Analysis by Fulcheri, Pascale, Olivi, Martine

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ε constrained differential evolution with pre-estimated comparison using gradient-based approximation for constrained optimization problems by Yi, Wenchao, Li, Xinyu, Gao, Liang, Zhou, Yinzhi, Huang, Jida

“…•An improved algorithm is proposed for constrained optimization problems.•Pre-estimated comparison using gradient-based approximation is proposed…”
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Convergence Rate Analysis of Viscosity Approximation based Gradient Algorithms by Jain, Prayas, Verma, Mridula, Shukla, K.K

“… In this paper, we present a viscosity-approximation-based proximal gradient algorithm and prove its linear convergence rate…”
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A Three-Dimensional Subspace Algorithm Based on the Symmetry of the Approximation Model and WYL Conjugate Gradient Method by Wang, Guoxin, Yao, Shengwei, Pei, Mingyang, Xu, Jieqiong

“…In this paper, a three-dimensional subspace method is proposed, in which the search direction is generated by minimizing the approximation model of the objective function in a three-dimensional subspace…”
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Stochastic proximal-gradient algorithms for penalized mixed models by Fort, Gersende, Ollier, Edouard, Samson, Adeline

“… can be approximated by a Monte Carlo technique. We propose a new algorithm based on a stochastic approximation of the proximal-gradient (PG) algorithm…”
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Conjugate-Gradient Progressive-Iterative Approximation for Loop and Catmull-Clark Subdivision Surface Interpolation by Hamza, Yusuf Fatihu, Lin, Hong-Wei

“… The proposed method, named Conjugate-Gradient Progressive-Iterative Approximation (CG-PIA), is based on the Conjugate-Gradient Iterative algorithm and the Progressive…”
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Natural actor–critic algorithms by Bhatnagar, Shalabh, Sutton, Richard S., Ghavamzadeh, Mohammad, Lee, Mark

“…We present four new reinforcement learning algorithms based on actor–critic, natural-gradient and function-approximation ideas, and we provide their convergence proofs. Actor…”
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Dynamic decoupling in motion systems using a gradient approximation-based algorithm by Heertjes, M., Hennekens, D., van Engelen, A., Steinbuch, M.

“… and dominant fourth-order plant behavior. The FIR filter coefficients are obtained using a gradient approximation-based algorithm which supports the means to obtain…”
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Distributed Kernel-Based Gradient Descent Algorithms by Lin, Shao-Bo, Zhou, Ding-Xuan

“…We study the generalization ability of distributed learning equipped with a divide-and-conquer approach and gradient descent algorithm in a reproducing kernel Hilbert space (RKHS…”
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Dholes Hunting-A Multi-Local Search Algorithm Using Gradient Approximation and Its Application for Blockchain Consensus Problem by Minh Nguyen, Binh, Nguyen, Thieu, Vu, Quoc-Hien, Huy Hung, Tran, Hoang Hai, Tran, Thi Thanh Binh, Huynh, Tran, Van-Dang

“… A clustering approach and finding an optimal global algorithm describe primarily based on gradient approximation…”
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An Implicit Gradient Method for Constrained Bilevel Problems Using Barrier Approximation by Tsaknakis, Ioannis, Khanduri, Prashant, Hong, Mingyi

“… Specifically, we develop a novel barrier-based gradient approximation algorithm that transforms the constrained BLO problem to a problem with only linear equality constraints in the LL task…”
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Two-point gradient-based MMA (TGMMA) algorithm for topology optimization by Li, Lei, Khandelwal, Kapil

“… (Groenwold and Etman, 2010) [2]. In this paper we propose a two-point gradient based MMA approximation, termed…”
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Gradient-Free Algorithms for Solving Stochastic Saddle Optimization Problems with the Polyak–Łojasiewicz Condition by Sadykov, S. I., Lobanov, A. V., Raigorodskii, A. M.

“… The proposed approach is based on applying a gradient approximation (kernel approximation) to an oracle-biased stochastic gradient descent algorithm…”
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Model-free control of nonlinear stochastic systems with discrete-time measurements by Spall, J.C., Cristion, J.A.

“… This paper considers the use of the simultaneous perturbation stochastic approximation algorithm which requires only system measurements…”
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Annealing Optimization for Progressive Learning with Stochastic Approximation by Mavridis, Christos N., Baras, John S.

“…In this work, we introduce a learning model designed to meet the needs of applications in which computational resources are limited, and robustness and…”
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Gradient-Based Discrete-Time Concurrent Learning for Standalone Function Approximation by Djaneye-Boundjou, Ouboti, Ordonez, Raul

“…When using standard learning techniques for uncertainty approximation, persistently exciting inputs are necessary in order to achieve good parameter estimation…”
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