Výsledky vyhledávání - "stochastic gradient algorithms"

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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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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Blind Adaptive Constrained Constant-Modulus Reduced-Rank Interference Suppression Algorithms Based on Interpolation and Switched Decimation Autor de Lamare, R C, Sampaio-Neto, R, Haardt, M

“…, switched decimation and reduced-rank estimation subject to a set of constraints are then detailed…”
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A class of constant modulus algorithms for uniform linear arrays with a conjugate symmetric constraint Autor Zhang, Lei, Liu, Wei, Langley, Richard J.

“…A class of constant modulus algorithms (CMAs) subject to a conjugate symmetric constraint is proposed for blind beamforming based on the uniform linear array structure…”
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Gradient estimation for stochastic optimization of optical code-division multiple-access systems. II. Adaptive detection Autor Mandayam, N.B., Aazhang, B.

“…)-based stochastic gradient algorithms for deriving optimum detectors with the average probability of bit error being the objective function that is minimized…”
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Adaptive delay-tolerant distributed space-time coding in opportunistic relaying cooperative MIMO systems Autor Tong Peng, de Lamare, Rodrigo C.

“… Stochastic gradient algorithms are developed with reduced computational complexity to estimate the parameters of the code matrix…”
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Adaptive Delay-Tolerant DSTBC in Opportunistic Relaying Cooperative MIMO Systems Autor Peng, T, de Lamare, R C

“… Stochastic gradient algorithms are developed with reduced computational complexity to estimate the parameters of the code matrix…”
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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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Probabilistic robust control design of polynomial vector fields Autor Qian Wang

“… vector fields is formulated into a stochastic convex optimization problem. Stochastic gradient algorithms are used to search a generally parameterized nonlinear…”
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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 sample realization approach for optimization of code division multiple access systems Autor Mandayam, Narayan B. T

“…Efforts in performance analysis of Code Division Multiple Access (CDMA) systems have concentrated on obtaining asymptotic approximations and bounds for system…”
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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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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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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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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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