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检索条件"主题词=learning algorithms"
13208 条 记 录,以下是491-500 订阅
排序:
Joint learning of Network Topology and Opinion Dynamics Based on Bandit algorithms
arXiv
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arXiv 2023年
作者: Xing, Yu Sun, Xudong Johansson, Karl H. Division of Decision and Control Systems EECS KTH Royal Institute of Technology Digital Futures StockholmSE-10044 Sweden
We study joint learning of network topology and a mixed opinion dynamics, in which agents may have different update rules. Such a model captures the diversity of real individual interactions. We propose a learning alg... 详细信息
来源: 评论
FedLF: Layer-Wise Fair Federated learning  38
FedLF: Layer-Wise Fair Federated Learning
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38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th Symposium on Educational Advances in Artificial Intelligence
作者: Pan, Zibin Li, Chi Yu, Fangchen Wang, Shuyi Wang, Haijin Tang, Xiaoying Zhao, Junhua Chinese Univ Hong Kong Sch Sci & Engn Shenzhen Peoples R China Shenzhen Inst Artificial Intelligence & Robot Soc Shenzhen Peoples R China Guangdong Prov Key Lab Future Networks Intelligen Shenzhen Peoples R China Shenzhen Res Inst Big Data Shenzhen Peoples R China
Fairness has become an important concern in Federated learning (FL). An unfair model that performs well for some clients while performing poorly for others can reduce the willingness of clients to participate. In this... 详细信息
来源: 评论
Reinforcement learning establishes a minimal metacognitive process to monitor and control motor learning performance
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NATURE COMMUNICATIONS 2023年 第1期14卷 1-14页
作者: Sugiyama, Taisei Schweighofer, Nicolas Izawa, Jun Univ Tsukuba Empowerment Informat Tsukuba Ibaraki 3058573 Japan Univ Southern Calif Biokinesiol & Phys Therapy Los Angeles CA 90089 USA Univ Tsukuba Inst Syst & Informat Engn Tsukuba Ibaraki 3058573 Japan
Humans and animals develop learning-to-learn strategies throughout their lives to accelerate learning. One theory suggests that this is achieved by a metacognitive process of controlling and monitoring learning. Altho... 详细信息
来源: 评论
Behavior Recognition of College Students Based on Improved Deep learning Algorithm
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International Journal of Web-Based learning and Teaching Technologies 2023年 第2期18卷 1-16页
作者: Ning, Xiaoke Jiangxi College of Foreign Studies China
With the vigorous development of intelligent campus construction, great changes have taken place in the development of information technology in colleges and universities from the previous digital to intelligent devel... 详细信息
来源: 评论
An efficient deep learning architecture for Turkish Lira recognition and counterfeit detection
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Turkish Journal of Electrical Engineering and Computer Sciences 2023年 第3期31卷 678-692页
作者: İyıkesıcı, Burak Erçelebı, Ergün Department of Electrical and Electronics Engineering Faculty of Engineering Gaziantep University Gaziantep Turkey
Banknote counterfeiting is a common practice worldwide. Due to the recent developments in technology, banknote imitation has become easier than before. There are different kinds of algorithms developed for the detecti... 详细信息
来源: 评论
Optimization of Regression algorithms using learning curve in WSN
Optimization of Regression algorithms using Learning curve i...
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2021 International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2021
作者: Verma, Vivek Kumar Kumar, Vinod Abes Engineering College Department of Electrical and Electronics Engineering Ghaziabad UP India Srm Institute of Science and Technology Department of Electronics and Communication
Regression algorithm used for the prediction of output with given features and it is a supervised learning algorithm. In applying regression algorithms such as linear regression, Regression using ANN, Regression using... 详细信息
来源: 评论
Convergence Rate of learning a Strongly Variationally Stable Equilibrium
Convergence Rate of Learning a Strongly Variationally Stable...
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European Control Conference (ECC)
作者: Tatarenko, Tatiana Kamgarpour, Maryam Tech Univ Darmstadt Control Methods & Intelligent Syst Lab Darmstadt Germany EPFL Sycamore Lab Lausanne Switzerland
We derive the rate of convergence to the globally strongly variationally stable Nash equilibrium in a convex game, for a zeroth-order learning algorithm. Though we do not assume strong monotonicity of the game, our ra... 详细信息
来源: 评论
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized learning with Shared Representations  38
DePRL: Achieving Linear Convergence Speedup in Personalized ...
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38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th Symposium on Educational Advances in Artificial Intelligence
作者: Xiong, Guojun Yan, Gang Wang, Shiqiang Li, Jian SUNY Stony Brook Stony Brook NY 11794 USA Binghamton Univ Binghamton NY USA IBM TJ Watson Res Ctr Yorktown Hts NY USA
Decentralized learning has emerged as an alternative method to the popular parameter-server framework which suffers from high communication burden, single-point failure and scalability issues due to the need of a cent... 详细信息
来源: 评论
Mesolimbic dopamine adapts the rate of learning from action
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NATURE 2023年 第7947期614卷 294-+页
作者: Coddington, Luke T. T. Lindo, Sarah E. E. Dudman, Joshua T. T. Howard Hughes Med Inst Janelia Res Campus Ashburn VA 20147 USA
Recent success in training artificial agents and robots derives from a combination of direct learning of behavioural policies and indirect learning through value functions(1-3). Policy learning and value learning use ... 详细信息
来源: 评论
Inference and learning for Generative Capsule Models
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NEURAL COMPUTATION 2023年 第4期35卷 727-761页
作者: Nazabal, Alfredo Tsagkas, Nikolaos Williams, Christopher K. I. Amazon Dev Ctr Scotland Edinburgh EH1 3EG Scotland Univ Edinburgh Sch Informat Edinburgh EH8 9AB Scotland Alan Turing Inst London NW1 2DB England
Capsule networks (see Hinton et al., 2018) aim to encode knowledge of and reason about the relationship between an object and its parts. In this letter, we specify a generative model for such data and derive a variati... 详细信息
来源: 评论