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检索条件"机构=Faculty of Mathematics and Computer Science/Department of Computer Science"
115559 条 记 录,以下是151-160 订阅
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A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression  38
A Comprehensive Analysis on the Learning Curve in Kernel Rid...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Cheng, Tin Sum Lucchi, Aurelien Kratsios, Anastasis Belius, David Department of Mathematics and Computer Science University of Basel Switzerland Department of Mathematics McMaster University The Vector Institute Ontario Canada Faculty of Mathematics and Computer Science UniDistance Suisse Switzerland
This paper conducts a comprehensive study of the learning curves of kernel ridge regression (KRR) under minimal assumptions. Our contributions are three-fold: 1) we analyze the role of key properties of the kernel, su...
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Poisson Structures on the Trivial Extensions of Hereditary Algebras of Dynkin Type A_(n)
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Algebra Colloquium 2025年 第1期32卷 169-180页
作者: Zygmunt Pogorzaty Faculty of Mathematics and Computer Science Nocolaus Copernicus University ul.Chopina 12/1887-100 TorunPoland
We provide a detailed description of inner and outer Poisson structures for the trivial extension A D(A),where A is a hereditary algebra of Dynkin type An and D(A)=Homk(A,K).
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Deep bed filtration model for cake filtration and erosion
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Applied mathematics and Mechanics(English Edition) 2024年 第2期45卷 355-372页
作者: L.I.KUZMINA Y.V.OSIPOV A.R.PESTEREV Department of Applied Mathematics HSE UniversityMoscow 101000Russia Department of Computer Science and Applied Mathematics Moscow State University of Civil EngineeringMoscow 129337Russia
Many phenomena in nature and technology are associated with the filtration of suspensions and colloids in porous media. Two main types of particle deposition,namely, cake filtration at the inlet and deep bed filtratio... 详细信息
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Traffic predictive-based flow splitting rerouting scheme for link failures in software-defined networks
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International Journal of computers and Applications 2023年 第7-8期45卷 508-515页
作者: Kengne Tchendji, Vianney Kabdjou, Joëlle Florian Yankam, Yannick Department of Mathematics and Computer Science University of Dschang Dschang Cameroon
This paper presents a traffic rerouting approach to keep a satisfactory QoS (Quality of Service) in virtualized network infrastructures (VPN, Cloud, etc.), supervised by an SDN (Software-Defined Networking) controller... 详细信息
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Advanced deep learning models based on neutrosophic logic for the analysis of brain tumor medical images
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Neutrosophic Sets and Systems 2025年 82卷 924-939页
作者: Atef, Dina El Shahat, Doaa Department of Computer Science Faculty of Computers and Informatics Zagazig University Zagazig44519 Egypt
The categorization of medical photographs poses considerable difficulties owing to noise, uncertainty, and ambiguous information. Conventional deep learning models frequently encounter difficulties in addressing this ... 详细信息
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A Comparison of Machine Learning Techniques for Yemeni Universities Admission Examinations Predictions  1
A Comparison of Machine Learning Techniques for Yemeni Unive...
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1st International Conference on Emerging Technologies for Dependable Internet of Things, ICETI 2024
作者: Al-Hagree, Salah Al-Sanabani, Maher Al-Gaphari, Ghaleb Al-Shalabi, Ahmed Abdullah Alawdi, Ala'a Al-Dilami, Redwan Mohsen, Ayedh Abdulaziz Alfahad, Khalil T. Computer Science Department Faculty of Computer and Information Technology Sana’a University Yemen Computer Science Department Faculty of Sciences Ibb University Yemen Aljazeera University Yemen Computer Science Department Faculty of Computer and Information Technology Thamar University Yemen Faculty of Computing and IT University of Science and Technology Sana’a Yemen School of Mathematics and Computer Science Wuhan Textile University China
Admissions examinations are crucial in shaping students' academic and career paths. Machine learning (ML) offers a promising avenue for transforming the assessment process in universities, schools, and colleges. T... 详细信息
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SepConv-ens: An ensemble of separable convolution-based deep learning models for weather radar echo temporal extrapolation  28th
SepConv-ens: An ensemble of separable convolution-based deep...
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28th International Conference on Knowledge Based and Intelligent information and Engineering Systems, KES 2024
作者: Czibula, Gabriela Mihai, Andrei Orasan, Paul-Dumitru Czibula, Istvan Gergely Mihulet, Eugen Burcea, Sorin Department of Computer Science Faculty of Mathematics and Computer Science Babes-Bolyai University Romania National Meteorological Administration Bucharest Romania
The paper addresses the topic of radar echo temporal extrapolation which is of major interest in both operational and research meteorology. Weather radar measurements are an important data source used by operational m... 详细信息
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Development of a machine learning model for predicting abnormalities of commercial airplanes
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Data science and Management 2024年 第3期7卷 256-265页
作者: Rossi Passarella Siti Nurmaini Muhammad Naufal Rachmatullah Harumi Veny Fara Nissya Nur Hafidzoh Department of Computer Engineering Faculty of Computer ScienceUniversitas Sriwijaya30662Indonesia Intelligent System Research Group(ISysRG) Faculty of Computer ScienceUniversitas Sriwijaya30662Indonesia Department of Informatics Faculty of Computer ScienceUniversitas Sriwijaya30662Indonesia College of Engineering Studies Universiti Teknologi MARA(UiTM)Shah Alam40450Malaysia
Airplanes are a social necessity for movement of humans,goods,and *** are generally safe modes of transportation;however,incidents and accidents occasionally *** prevent aviation accidents,it is necessary to develop a... 详细信息
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Single-Model Attribution of Generative Models Through Final-Layer Inversion  41
Single-Model Attribution of Generative Models Through Final-...
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41st International Conference on Machine Learning, ICML 2024
作者: Laszkiewicz, Mike Ricker, Jonas Lederer, Johannes Fischer, Asja Faculty of Computer Science Ruhr University Bochum Germany Department of Mathematics Computer Science and Natural Sciences University of Hamburg Germany
Recent breakthroughs in generative modeling have sparked interest in practical single-model attribution. Such methods predict whether a sample was generated by a specific generator or not, for instance, to prove intel... 详细信息
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Improving three-term conjugate gradient methods for training artificial neural networks in accurate heart disease prediction
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Neural Computing and Applications 2025年 1-25页
作者: Ibrahim, Alaa Luqman Fathi, Bayda Ghanim Abdulrazzaq, Maiwan Bahjat Department of Mathematics College of Science University of Zakho Kurdistan Region Zakho Iraq Department of Computer Science College of Science University of Zakho Kurdistan Region Zakho Iraq
This study presents a new optimization technique, the three-term conjugate gradient method, which enhances the efficiency of solving unconstrained optimization problems and its application in training artificial neura... 详细信息
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