Výsledky vyhledávání - "stochastic gradient algorithm"

A stochastic gradient algorithm with momentum terms for optimal control problems governed by a convection–diffusion equation with random diffusivity Autor Toraman, Sıtkı Can, Yücel, Hamdullah

“…In this paper, we focus on a numerical investigation of a strongly convex and smooth optimization problem subject to a convection…”
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Identifying Cognitive Radars - Inverse Reinforcement Learning using Revealed Preferences Autor Krishnamurthy, Vikram, Angley, Daniel, Evans, Rob, Moran, Bill

“…We consider an inverse reinforcement learning problem involving us versus an enemy radar equipped with a Bayesian tracker. By observing the emissions of the…”
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Gradient-based simulation optimization under probability constraints Autor Andrieu, Laetitia, Cohen, Guy, Vázquez-Abad, Felisa J.

“…We study optimization problems subject to possible fatal failures. The probability of failure should not exceed a given confidence level…”
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Gradient estimation for sensitivity analysis and adaptive multiuser interference rejection in code-division multiple-access systems Autor Mandayam, N.B., Aazhang, B.

“… The above estimates are shown to be unbiased, and this technique is then further incorporated into a stochastic gradient algorithm for achieving adaptive multiuser interference rejection…”
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Linear mixed effects models for non-Gaussian continuous repeated measurement data Autor Asar, Özgür, Bolin, David, Diggle, Peter J., Wallin, Jonas

“… To meet the computational challenges that are presented by large data sets, i.e. in the current context, data sets with many subjects and/or many repeated measurements…”
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Jacobi-Style Iteration for Distributed Submodular Maximization Autor Du, Bin, Qian, Kun, Claudel, Christian, Sun, Dengfeng

“…This article presents a novel Jacobi-style iteration algorithm for solving the problem of distributed submodular maximization, in which multiple agents…”
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A stochastic gradient method with variance control and variable learning rate for Deep Learning Autor Franchini, Giorgia, Porta, Federica, Ruggiero, Valeria, Trombini, Ilaria, Zanni, Luca

“…In this paper we study a stochastic gradient algorithm which rules the increase of the mini-batch size in a predefined fashion and automatically adjusts the learning rate by means of a monotone or non…”
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A Computation-Efficient Decentralized Algorithm for Composite Constrained Optimization Autor Lu, Qingguo, Liao, Xiaofeng, Li, Huaqing, Huang, Tingwen

“… To address the problem in a decentralized fashion, we propose a novel computation-efficient decentralized stochastic gradient algorithm, which leverages the variance reduction technique…”
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Modeling the transient behavior of stochastic gradient algorithms Autor Brockett, Roger

“…We investigate the transient behavior of a class of stochastic gradient algorithms…”
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Robust Failure Compensation for a Morphing Aircraft Model Using a Probabilistic Approach Autor Ataei-Esfahani, Armin, Wang, Qian

“…We present a probabilistic robust control design for a morphing aircraft model subject to uncertain actuator failure…”
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Real Time Acceleration Tracking of Electro-Hydraulic Shake Tables Combining Inverse Compensation Technique and Neural-Based Adaptive Controller Autor Tang, Yu, Zhu, Zhencai, Shen, Gang, Zhang, Wenjuan

“… accuracy in advance, and then the multi-innovation stochastic gradient algorithm is utilized to estimate the discrete…”
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Robust Optimal Design for the Estimation of Hyperparameters in Population Pharmacokinetics Autor Tod, Michel, Mentré, France, Merlé, Yann, Mallet, Alain

“… is minimized in order to find the optimal population design. In this approach, a group is defined as a number of subjects to whom the same sampling schedule (i.e…”
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Recursive identification for Wiener non-linear systems with non-stationary disturbances Autor Dong, Shijian, Yu, Li, Zhang, Wen-An, Chen, Bo

“…This study investigates the robust recursive identification problem for Wiener non-linear systems with non-stationary disturbance and measurement white…”
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Detection of Homophilic Communities and Coordination of Interacting Meta-Agents: A Game-Theoretic Viewpoint Autor Gharehshiran, Omid Namvar, Hoiles, William, Krishnamurthy, Vikram

“… A stochastic gradient algorithm is given to optimize the external influence signal in real time to minimize the Type-II error probabilities of the detection test subject to specified…”
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Adaptive buffer-aided space-time coding for cooperative wireless networks Autor Tong Peng, de Lamare, Rodrigo C.

“… A stochastic gradient algorithm is then developed to compute the parameters of the adjustable code vector with reduced computational complexity. Simulation results show that the proposed buffer-aided scheme and algorithm obtain performance gains over existing schemes…”
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Quality of Service Optimization of Multiuser Wireless Communication Systems Autor Huang, Huang

“…In recent years, wireless communication systems have undergone large scale proliferation. Not only real time voice applications, but also data applications…”
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Recursive identification of Hammerstein systems with dead-zone input nonlinearity Autor Dong, Shijian, Yu, Li, Zhang, Wen-An, Yang, Xusheng

“…A robust recursive identification algorithm is proposed for Hammerstein systems with dead-zone input nonlinearity and unknown dynamic disturbances. The dynamic…”
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Study of Buffer-Aided Space-Time Coding for Multiple-Antenna Cooperative Wireless Networks Autor Peng, T, de Lamare, R C

“… A maximum likelihood receiver and adjustable code vectors are considered subject to a power constraint with an amplify-and-forward cooperation strategy…”
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Reinforcement Learning and Nonparametric Detection of Game-Theoretic Equilibrium Play in Social Networks Autor Gharehshiran, Omid Namvar, Hoiles, William, Krishnamurthy, Vikram

“…This paper studies two important signal processing aspects of equilibrium behavior in non-cooperative games arising in social networks, namely, reinforcement…”
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Adaptive Distributed Space-Time Coding in Cooperative MIMO Relaying Systems using Limited Feedback Autor Peng, T, de Lamare, R C, Schmeink, A

“… A stochastic gradient algorithm is also developed with reduced computational complexity. The simulation results show that the proposed algorithms obtain significant performance gains as compared to existing DSTC schemes…”
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