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检索条件"主题词=Sampling Algorithms"
65 条 记 录,以下是1-10 订阅
排序:
sampling algorithms in Statistical Physics: A Guide for Statistics and Machine Learning
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STATISTICAL SCIENCE 2024年 第1期39卷 137-164页
作者: Faulkner, Michael F. Livingstone, Samuel Univ Bristol HH Wills Phys Lab Bristol England UCL Dept Stat Sci London England
We discuss several algorithms for sampling from unnormalized probability distributions in statistical physics, but using the language of statistics and machine learning. We provide a self-contained introduction to som... 详细信息
来源: 评论
Multi-Objective Optimization of sampling algorithms Pipeline for Unbalanced Problems
Multi-Objective Optimization of Sampling Algorithms Pipeline...
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IEEE Congress on Evolutionary Computation (CEC)
作者: Miranda, Pericles B. C. Mello, Rafael Ferreira Nascimento, Andre C. A. Si, Tapas Univ Fed Rural Pernambuco Dept Comp Recife PE Brazil CESAR Sch Recife PE Brazil
The sequencing of sampling algorithms has shown to be a promising approach in generating balanced versions of unbalanced data. Sequencing allows different algorithms of under-sampling and/or over-sampling to be perfor... 详细信息
来源: 评论
Stroke Risk Prediction: Comparing Different sampling algorithms
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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2023年 第6期14卷 1074-1081页
作者: Yin, Qiuyang Ye, Xiaoyan Huang, Binhua Qin, Lei Ye, Xiaoying Wang, Jian Software Engn Inst Guangzhou Dept Network Technol Guangzhou 310401 Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen 518055 Peoples R China Univ Sains Malaysia Sch Comp Sci George Town 11800 Malaysia Neusoft Inst Guangdong Sch Comp Sci Foshan 528225 Peoples R China
stroke is a serious disease that has a significant impact on the quality of life and safety of patients. Accurately predicting stroke risk is of great significance for preventing and treating stroke. In the past few y... 详细信息
来源: 评论
On adaptive sampling algorithms for IoT devices
On adaptive sampling algorithms for IoT devices
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IEEE International Conference on Communications (ICC)
作者: Ben-Aboud, Yassine Licea, Daniel Bonilla Ghogho, Mounir Kobbane, Abdellatif Int Univ Rabat Coll Engn & Architecture TICLab Rabat Morocco Mohammed V Univ Rabat ENSIAS Rabat Morocco Univ Leeds Fac Engn Leeds W Yorkshire England Czech Tech Univ Dept Cybernet Prague Czech Republic
sampling is a core process in IoT systems. It determines the data volume circulating within the network as well as the energy consumption on the IoT devices. Adaptive sampling aims to control the volume of generated d... 详细信息
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Identification of Suitable Technologies for Drinking Water Quality Prediction: A Comparative Study of Traditional, Ensemble, Cost-Sensitive, Outlier Detection Learning Models and sampling algorithms
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ACS ES&T WATER 2021年 第8期1卷 1676-1685页
作者: Chen, Xingguo Liu, Houtao Xu, Xiuying Zhang, Luoyuan Lin, Tianchi Zuo, Min Huang, Yichao Shen, Ruqin Chen, Da Deng, Yongfeng Nanjing Univ Posts & Telecommun Jiangsu Key Lab Big Data Secur & Intelligent Proc Nanjing 210023 Jiangsu Peoples R China Beijing Technol & Business Univ Natl Engn Lab Agriprod Qual Traceabil Beijing 100048 Peoples R China Nanjing Univ State Key Lab Novel Software Technol Nanjing 210023 Jiangsu Peoples R China Anhui Med Univ Dept Toxicol Sch Publ Hlth Hefei 230032 Anhui Peoples R China Jinan Univ Sch Environm Guangzhou Key Lab Environm Exposure & Hlth Guangzhou 510632 Guangdong Peoples R China Jinan Univ Guangdong Key Lab Environm Pollut & Hlth Guangzhou 510632 Guangdong Peoples R China Nanjing Univ Sch Environm State Key Lab Pollut Control & Resource Reuse Nanjing 210023 Jiangsu Peoples R China
Drinking water quality data sets used in learning models have been highly imbalanced, which has weakened the prediction ability of models for drinking water quality. Although some efforts have been made to address the... 详细信息
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Probabilistic techniques for analyzing sampling algorithms and the dynamics of lattice models
Probabilistic techniques for analyzing sampling algorithms a...
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作者: Fahrbach, Matthew Georgia Institute of Technology
学位级别:博士
Statistical mechanics bridges the fields of physics and probability theory, providing critical insights into both disciplines. Statistical physics models capture key features of macroscopic phenomena and consist of a ... 详细信息
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A Meta-Learning Method to Select Under-sampling algorithms for Imbalanced Data Sets  5
A Meta-Learning Method to Select Under-Sampling Algorithms f...
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5th Brazilian Conference on Intelligent Systems (BRACIS)
作者: de Morais, Romero F. A. B. Miranda, Pericles B. C. Silva, Ricardo M. A. Univ Fed Pernambuco Recife PE Brazil
Imbalanced data sets originating from real world problems, such as medical diagnosis, can be found pervasive. Learning from imbalanced data sets poses its own challenges, as common classifiers assume a balanced distri... 详细信息
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Fast and Perfect sampling of Subgraphs and Polymer Systems
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ACM TRANSACTIONS ON algorithms 2024年 第1期20卷 1-30页
作者: Blanca, Antonio Cannon, Sarah Perkins, Will Penn State Univ Comp Sci & Engn Dept Westgate Bldg University Pk PA 16801 USA Claremont Mckenna Coll Math Sci Dept 888 Columbia Ave Claremont CA 91711 USA Georgia Inst Technol Sch Comp Sci 266 Ferst Dr Atlanta GA 30332 USA
We give an efficient perfect sampling algorithm for weighted, connected induced subgraphs (or graphlets) of rooted, bounded degree graphs. Our algorithm utilizes a vertex-percolation process with a carefully chosen re... 详细信息
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GAASP: Genetic Algorithm-Based Atomistic sampling Protocol for High-Entropy Materials
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MATERIALS AND MANUFACTURING PROCESSES 2023年 第16期38卷 2044-2050页
作者: Anand, G. Indian Inst Engn Sci & Technol Dept Met & Mat Engn Howrah India
High-entropy materials are composed of multiple elements on comparatively simpler lattices. Due to the multi-component nature of such materials, atomic-scale sampling is computationally expensive due to the combinator... 详细信息
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Optimal mixing via tensorization for random independent sets on arbitrary trees
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COMBINATORICS PROBABILITY AND COMPUTING 2024年 第2期34卷 259-275页
作者: Efthymiou, Charilaos Hayes, Thomas P. Stefankovic, Daniel Vigoda, Eric Univ Warwick Dept Comp Sci Coventry England Univ Buffalo Dept Comp Sci & Engn New York NY USA Univ Rochester Dept Comp Sci Rochester NY USA Univ Calif Santa Barbara Dept Comp Sci Santa Barbara CA USA
We study the mixing time of the single-site update Markov chain, known as the Glauber dynamics, forgenerating a random independent set of a tree. Our focus is obtaining optimal convergence results forarbitrary trees. ... 详细信息
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