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检索条件"主题词=learning algorithms"
13222 条 记 录,以下是531-540 订阅
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Sensorless current prediction in single phase inverter circuits with machine learning algorithms
Journal of Energy Systems
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Journal of Energy Systems 2021年 第3期5卷 221-230页
作者: Ture, Huseyin Balci, Selami Aslan, Muhammet Fatih Sabanci, Kadir Karamanoglu Mehmetbey University Graduate School of Natural and Applied Sciences Department of Electrical and Electronics Engineering Karaman Turkey
Inverter circuits are widely used in power electronics applications such as electric motor control, induction heating or different Alternating Current (AC) loads. The control signal applied to the switching elements c... 详细信息
来源: 评论
PiLiMoT: A Modified Combination of LoLiMoT and PLN learning algorithms for Local Linear Neurofuzzy Modeling
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JOURNAL OF CONTROL SCIENCE AND ENGINEERING 2011年 第unknown期2011卷
作者: Sarabi-Jamab, Atiye Araabi, Babak N. Univ Tehran Control & Intelligent Proc Ctr Excellence Sch Elect & Comp Engn Tehran *** Iran Inst Res Fundamental Sci IPM Sch Cognit Sci Tehran *** Iran
Locally linear model tree (LoLiMoT) and piecewise linear network (PLN) learning algorithms are two approaches in local linear neurofuzzy modeling. While both methods belong to the class of growing tree learning algori... 详细信息
来源: 评论
Tighter Generalization Bounds for Iterative Differentially Private learning algorithms
arXiv
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arXiv 2020年
作者: He, Fengxiang Wang, Bohan Tao, Dacheng UBTECH Sydney AI Centre School of Computer Science Faculty of Engineering University of Sydney DarlingtonNSW2008 Australia University of Science and Technology of China
This paper studies the relationship between generalization and privacy preservation in iterative learning algorithms by two sequential steps. We first establish an alignment between generalization and privacy preserva... 详细信息
来源: 评论
On the Inductive Biases of Demographic Parity-based Fair learning algorithms
arXiv
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arXiv 2024年
作者: Lei, Haoyu Gohari, Amin Farnia, Farzan Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong Department of Information Engineering The Chinese University of Hong Kong Hong Kong
Fair supervised learning algorithms assigning labels with little dependence on a sensitive attribute have attracted great attention in the machine learning community. While the demographic parity (DP) notion has been ... 详细信息
来源: 评论
Big data analytics applying the fusion approach of multicriteria decision making with deep learning algorithms
arXiv
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arXiv 2021年
作者: Papineni, Swarajya Lakshmi V. Yarlagadda, Snigdha Akkineni, Harita Reddy, A. Mallikarjuna Department of Information Technology Prasad V Potluri Siddhartha Institute of Technology Vijayawada AP India Technology Analyst Infosys Limited Bangalore Karnataka India Department of CSE Anurag University Hyderabad AP India
Data is evolving with the rapid progress of population and communication for various types of devices such as networks, cloud computing, Internet of Things (IoT), actuators, and sensors. The increment of data and comm... 详细信息
来源: 评论
Estimate the warfarin dose by ensemble of machine learning algorithms
arXiv
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arXiv 2018年
作者: Ma, Zhiyuan Wang, Ping Gao, Zehui Wang, Ruobing Khalighi, Koroush Easton Cardiovascular Associates EastonPA United States Division of Cardiology Department of Medicine Duke University Medical Center DurhamNC United States Division of Cardiology Department of Medicine Easton Hospital PA United States Drexel University College of Medicine PhiladelphiaPA United States Department of Chemistry Social Science Research Institute Duke University DurhamNC United States Science Center of Opera Solutions LLC San DiegoCA United States Department of Mathematics and Statistics San Diego State University La MesaCA United States
Warfarin dosing remains challenging due to narrow therapeutic index and highly individual variability. Incorrect warfarin dosing is associated with devastating adverse events. Remarkable efforts have been made to deve... 详细信息
来源: 评论
More Flexible PAC-Bayesian Meta-learning by learning learning algorithms
arXiv
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arXiv 2024年
作者: Zakerinia, Hossein Behjati, Amin Lampert, Christoph H. Austria Sharif University of Technology. Iran
We introduce a new framework for studying meta-learning methods using PAC-Bayesian theory. Its main advantage over previous work is that it allows for more flexibility in how the transfer of knowledge between tasks is... 详细信息
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Generative Models and learning algorithms for Core-Periphery Structured Graphs
arXiv
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arXiv 2022年
作者: Gurugubelli, Sravanthi Chepuri, Sundeep Prabhakar The Department of ECE Indian Institute of Science Bangalore India
We consider core-periphery structured graphs, which are graphs with a group of densely and sparsely connected nodes, respectively, referred to as core and periphery nodes. The so-called core score of a node is related... 详细信息
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Exploring intra-task relations to improve meta-learning algorithms
arXiv
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arXiv 2023年
作者: Agarwal, Prabhat Singh, Shreya Department of Computer Science Stanford University United States
Meta-learning has emerged as an effective methodology to model several real-world tasks and problems due to its extraordinary effectiveness in the low-data regime. There are many scenarios ranging from the classificat... 详细信息
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Development of deep learning algorithms to categorize free-text notes pertaining to diabetes: Convolution neural networks achieve higher accuracy than support vector machines
arXiv
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arXiv 2018年
作者: Yang, Boyi Wright, Adam Harvard Medical School United States Brigham and Womens Hospital United States
Background Health professionals can use natural language processing (NLP) technologies when reviewing electronic health records (EHR). Machine learning free-text classifiers can help them identify problems and make cr... 详细信息
来源: 评论