Search Results - "algorithm parameter configuration"

Knowledge- and Model-Driven Deep Reinforcement Learning for Efficient Federated Edge Learning: Single- and Multi-Agent Frameworks by Li, Yangchen, Zhao, Lingzhi, Wang, Tianle, Ding, Lianghui, Yang, Feng

“… a rigorous convergence analysis. We formulate a joint optimization problem for FL worker selection and algorithm parameter configuration to minimize the final test loss subject to time and energy constraints…”
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INTERNATIONAL PATENT: HANGZHOU HIKROBOT CO., LTD., 杭州海康机器人股份有限公司 FILES APPLICATION FOR "MACHINE VISION PLATFORM ALGORITHM PARAMETER CONFIGURATION METHOD AND APPARATUS"

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Performance analysis of a data-offloading approach based on software-defined networking for heterogeneous networks by Romero Avendaño, Sebastian, Sánchez Huertas, Jann Camilo, Puerto Leguizamón, Gustavo Adolfo

“… in which multimedia services were transported within the SDN environment and assessed in terms of the algorithm parameters configuration…”
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Hepatic vessel segmentation for 3D planning of liver surgery experimental evaluation of a new fully automatic algorithm by Conversano, Francesco, Franchini, Roberto, Demitri, Christian, Massoptier, Laurent, Montagna, Francesco, Maffezzoli, Alfonso, Malvasi, Antonio, Casciaro, Sergio

“… Algorithm parameter configuration was experimentally optimized, and the maximum achievable segmentation accuracy was quantified for both single two-dimensional slices and 3D reconstruction…”
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Experimental evaluation of an automatic parameter setting system by Pavón, R., Díaz, F., Laza, R., Luzón, M.V.

“… This paper briefly describes a system that automatically chooses the best algorithm parameter configuration conditioned by the current problem instance to solve…”
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Cooperative Localization With Bounding Constraints in Mobile Wireless Sensor Networks by Wang, Zhaoyang, Zhang, Baihai, Wang, Xiaoyi, Chai, Senchun, Bai, Yuting

“… Experiments are conducted to verify the proposed method in the aspect of algorithm parameter configuration, experiment parameter configuration, and distribution parameter configuration. The experiment results show that the proposed method in this paper outperforms than existing methods in large-scale WSNs…”
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Knowledge and Model-Driven Deep Reinforcement Learning for Federated Edge Learning by Li, Yangchen, Zhao, Lingzhi, Yang, Feng

“…). We formulate a joint worker selection and FL algorithm parameter configuration problem to minimize the final test loss under time and energy constraints…”
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Improving automatic segmentation of tissue-targeted nanoparticles on echographic images by Greco, A., Conversano, F., Franchini, R., Casciaro, S., Massoptier, L., Lay-Ekuakille, A.

“…In recent years, intensive investigations have been undertaken to develop nanoparticle-based cancer targeting agents for various imaging modalities, including…”
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Optimizing actigraphic estimates of polysomnographic sleep features in insomnia disorder by te Lindert, Bart H W, van der Meijden, Wisse P, Wassing, Rick, Lakbila-Kamal, Oti, Wei, Yishul, Van Someren, Eus J W, Ramautar, Jennifer R

“…Abstract Study Objectives Actigraphy is a useful tool for estimating sleep, but less accurately distinguishes sleep and wakefulness in patients with insomnia…”
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Optimizing Algorithms from Pairwise User Preferences by Keselman, Leonid, Shih, Katherine, Hebert, Martial, Steinfeld, Aaron

“…; however, this reward may be difficult or impossible to effectively capture. In this work, we introduce SortCMA to optimize algorithm parameter configurations in high dimensions based on pairwise user preferences…”
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Multi-sensor Data Mining of Single Train Braking System Based on Long Short-term Memory Network by Liu, Wen Jing, Wan, Guo Chun, Tong, Mei Song

“… Due to the frequency instability caused by hardware sampling interference, a variety of data preprocessing methods and algorithm parameters configuration are used to equalize and normalize…”
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Optimizing Algorithms From Pairwise User Preferences by Keselman, Leonid, Shih, Katherine, Hebert, Martial, Steinfeld, Aaron

“…; however, this reward may be difficult or impossible to effectively capture. In this work, we introduce SortCMA to optimize algorithm parameter configurations in high dimensions based on pairwise user preferences…”
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Market Making in a Limit Order Book: Classical Optimal Control and Reinforcement Learning Approaches by Yu, Chuyi

“…Since the last decade, algorithmic trading has become one of the most significant developments in electronic security markets. Several types of problems and…”
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Virtual Inertia Control for Power Electronics-Integrated Power Systems: Challenges and Prospects by Shobug, Md Asaduzzaman, Chowdhury, Nafis Ahmed, Hossain, Md Alamgir, Sanjari, Mohammad J., Lu, Junwei, Yang, Fuwen

“…In modern power systems, conventional energy production units are being replaced by clean and environmentally friendly renewable energy resources (RESs)…”
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