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检索条件"主题词=Optimization Algorithms"
4015 条 记 录,以下是3671-3680 订阅
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Behavior of Multiple Data Hiding Techniques towards Noisy Channels
Behavior of Multiple Data Hiding Techniques towards Noisy Ch...
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2010 International Conference on Audio,Language and Image Processing(2010年音频、语言与图像处理国际会议 ICALIP 2010)
作者: J.Samuel Manoharan A.Sathesh Kezi Selva Vijila Karunya University Christian College of Engineering
Data Embedding is an art of concealing information of high significance or secrecy inside an image or video sequence. Numerous techniques are being researched to develop a strong and optimized algorithm to embed the d... 详细信息
来源: 评论
DISCRETE EVENT optimization: SINGLE-RUN INTEGRATED SIMULATION-optimization USING MATHEMATICAL PROGRAMMING  15
DISCRETE EVENT OPTIMIZATION: SINGLE-RUN INTEGRATED SIMULATIO...
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Simulation Conference
作者: Giulia Pedrielli Andrea Matta Arianna Alfieri National University of Singapore SG Singapore Shanghai Jiao Tong University Shanghai China Politecnico di Torino Torino Italy
optimization of discrete event systems conventionally uses simulation as a black-box oracle to estimate performance at design points generated by a separate optimization algorithm. This decoupled approach fails to exp... 详细信息
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Novel optimisation algorithm of electrical machines
Novel optimisation algorithm of electrical machines
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8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016)
作者: Zheng Tan N. J. Baker Wenping Cao Electrical Power Research Group School of Electrical and Electronic Engineering Newcastle University NE1 7RU UK Newcastle University Newcastle upon Tyne Tyne and Wear GB Aston University United Kingdom
This paper presents a case study for multi-variable and multimodal design optimisation of a doubly fed induction generator (DFIG) based on surrogate-model optimisation algorithm. The DFIG's winding of stator and r... 详细信息
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Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks
arXiv
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arXiv 2024年
作者: Tsilivis, Nikolaos Vardi, Gal Kempe, Julia New York University United States Weizmann Institute of Science Israel Meta FAIR United States
We study the implicit bias of the general family of steepest descent algorithms, which includes gradient descent, sign descent and coordinate descent, in deep homogeneous neural networks. We prove that an algorithm-de... 详细信息
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On Uncertainty Quantification for Near-Bayes Optimal algorithms
arXiv
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arXiv 2024年
作者: Wang, Ziyu Holmes, Chris University of Oxford United Kingdom
Bayesian modelling allows for the quantification of predictive uncertainty which is crucial in safety-critical applications. Yet for many machine learning algorithms, it is difficult to construct or implement their Ba... 详细信息
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Thompson Sampling for 1-Dimensional Exponential Family Bandits  13
Thompson Sampling for 1-Dimensional Exponential Family Bandi...
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Annual Conference on Neural Information Processing Systems
作者: Nathaniel Korda Emilie Kaufmann Remi Munos INRIA Lille - Nord Europe Team SequeL Institut Mines-Telecom Telecom ParisTech
Thompson Sampling has been demonstrated in many complex bandit models, however the theoretical guarantees available for the parametric multi-armed bandit are still limited to the Bernoulli case. Here we extend them by... 详细信息
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Power Allocation for Cognitive Relay Systems
Power Allocation for Cognitive Relay Systems
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World Congress on Intelligent Control and Automation
作者: Lina. Fan Jinkuan. Wang Jing. Gao Engineer Optimization& Smart Antenna Institute Northeastern University at Qinhuangdao Qin huang dao China Northeastern University Shenyang China
In this paper, the power allocation problem for Orthogonal frequency division multiplexing (OFDM)-based relay cognitive radio systems is investigated. An optimization power allocation algorithm is developed. In the al... 详细信息
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Probabilistic Iterative Hard Thresholding for Sparse Learning
arXiv
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arXiv 2024年
作者: Bergamaschi, Matteo Cristofari, Andrea Kungurtsev, Vyacheslav Rinaldi, Francesco Department of Mathematics "Tullio Levi-Civita" University of Padua Italy Department of Civil Engineering and Computer Science Engineering University of Rome "Tor Vergata" Italy Czech Technical University in Prague Czech Republic
For statistical modeling wherein the data regime is unfavorable in terms of dimensionality relative to the sample size, finding hidden sparsity in the ground truth can be critical in formulating an accurate statistica... 详细信息
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Fixed-Point Constrained Model Predictive Control of Spacecraft Attitude
Fixed-Point Constrained Model Predictive Control of Spacecra...
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American Control Conference
作者: Alberto Guiggiani Ilya Kolmanovsky Panagiotis Patrinos Alberto Bemporad IMT Institute for Advanced Studies Lucca Italy Department of Aerospace Engineering University of Michigan Ann Arbor MI 48109
The paper develops a Model Predictive Controller for constrained control of spacecraft attitude with reaction wheel actuators. The controller exploits a special formulation of the cost with the reference governor like... 详细信息
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Low-rank Modifications of Riccati Factorizations with Applications to Model Predictive Control
Low-rank Modifications of Riccati Factorizations with Applic...
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IEEE Annual Conference on Decision and Control
作者: Isak Nielsen Daniel Ankelhed Daniel Axehill Division of Automatic Control Linkoping University SE-58183 Linkoping Sweden
In optimization algorithms used for on-line Model Predictive Control (MPC), the main computational effort is spent while solving linear systems of equations to obtain search directions. Hence, it is of greatest intere... 详细信息
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