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检索条件"主题词=Algorithm comparison"
101 条 记 录,以下是31-40 订阅
排序:
Statistical comparisons of Classifiers by Generalized Stochastic Dominance
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JOURNAL OF MACHINE LEARNING RESEARCH 2023年 第1期24卷 1-37页
作者: Jansen, Christoph Nalenz, Malte Schollmeyer, Georg Augustin, Thomas Ludwig Maximilians Univ Munchen Dept Stat Ludwigstr 33 D-80539 Munich Germany
Although being a crucial question for the development of machine learning algorithms, there is still no consensus on how to compare classifiers over multiple data sets with respect to several criteria. Every compariso... 详细信息
来源: 评论
Using the IPOL Journal for Online Reproducible Research in Remote Sensing
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IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 2020年 13卷 6384-6390页
作者: Colom, Miguel Dagobert, Tristan de Franchis, Carlo von Gioi, Rafael Grompone Hessel, Charles Morel, Jean-Michel Univ Paris Saclay Cole Normale Supr Paris Saclay CNRS F-91190 Gif Sur Yvette France
Reproducible research is needed to ensure that scientific results in the literature are reliable, unbiased, and verifiable by others. The journal Image Processing On Line (IPOL) publishes reproducible articles since 2... 详细信息
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Routing algorithm selection for field coverage planning based on field shape and fleet size
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COMPUTERS AND ELECTRONICS IN AGRICULTURE 2019年 156卷 523-529页
作者: Seyyedhasani, Hasan Dvorak, Joseph S. Roemmele, Eric Univ Calif Davis Biol & Agr Engn 2030 Bainer Hall Davis CA 95616 USA Univ Kentucky Biosyst & Agr Engn Dept 128 CE Barnhart Bldg Lexington KY 40546 USA Univ Kentucky Appl Stat Lab 323 Plant Sci Bldg Lexington KY 40546 USA
This project considered the field efficiency of routes created using two routing algorithms, a fast Clarke-Wright heuristic and a slower tabu search meta-heuristic, in 100 different field shapes with 1200 different fi... 详细信息
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A survey on evaluation methods for image segmentation
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PATTERN RECOGNITION 1996年 第8期29卷 1335-1346页
作者: Zhang, YJ SHANTOU UNIV INST AI & PRSHANTOU 515063PEOPLES R CHINA
This paper studies different methods proposed so far for segmentation evaluation. Most methods can be classified into three groups: the analytical, the empirical goodness and the empirical discrepancy groups. Each gro... 详细信息
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Ethylene-vinyl acetate foam as a new lung substitute in radiotherapy
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MEDICAL PHYSICS 2018年 第4期45卷 1715-1723页
作者: Marques, Enrique Mancha, Pedro J. Virgen del Puerto Hosp Dept Med Phys Plasencia 10600 Caceres Spain Infanta Cristina Hosp Dept Med Phys Badajoz 06006 Spain
PurposeThe purpose of this study was to evaluate ethylene-vinyl acetate (EVA) foam as a new lung substitute in radiotherapy and to study its physical and dosimetric characteristics. MethodsWe calculated the ideal viny... 详细信息
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Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites
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EVOLUTIONARY COMPUTATION 2022年 第2期30卷 165-193页
作者: Brockhoff, Dimo Auger, Anne Hansen, Nikolaus Tusar, Tea Inst Polytech Paris Ecole Polytech CNRS InriaCMAP Paris France Jozef Stefan Inst Ljubljana Slovenia
Several test function suites are being used for numerical benchmarking of multiobjective optimization algorithms. While they have some desirable properties, such as well-understood Pareto sets and Pareto fronts of var... 详细信息
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A hybrid swarm-based algorithm for single-objective optimization problems involving high-cost analyses
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SWARM INTELLIGENCE 2016年 第2期10卷 99-121页
作者: Ampellio, Enrico Vassio, Luca Politecn Torino Dipartimento Ingn Meccan & Aerosp I-10129 Turin TO Italy Politecn Torino Dipartimento Elettron & Telecomunicaz I-10129 Turin TO Italy
In many technical fields, single-objective optimization procedures in continuous domains involve expensive numerical simulations. In this context, an improvement of the Artificial Bee Colony (ABC) algorithm, called th... 详细信息
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Material analysis and big data monitoring of sports training equipment based on machine learning algorithm
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NEURAL COMPUTING & APPLICATIONS 2022年 第4期34卷 2749-2763页
作者: Zhang, Lei Li, Ning Lanzhou Univ Technol Dept Phys Educ Lanzhou 730050 Gansu Peoples R China Hunan Univ Finance & Econ PE Dept Changsha 410205 Hunan Peoples R China
Different machine learning algorithms predict the application effect of perovskite materials in sports training equipment. The sensitivity to material data is different on different ranges of data sets. Therefore, the... 详细信息
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Best practices for comparing optimization algorithms
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OPTIMIZATION AND ENGINEERING 2017年 第4期18卷 815-848页
作者: Beiranvand, Vahid Hare, Warren Lucet, Yves Univ British Columbia Dept Comp Sci Kelowna BC Canada Univ British Columbia Dept Math Kelowna BC Canada
Comparing, or benchmarking, of optimization algorithms is a complicated task that involves many subtle considerations to yield a fair and unbiased evaluation. In this paper, we systematically review the benchmarking p... 详细信息
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Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study
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MEDICAL IMAGE ANALYSIS 2014年 第7期18卷 1217-1232页
作者: Rudyanto, Rina D. Kerkstra, Sjoerd van Rilowort, Eva M. Fetita, Catalin Brillet, Pierre-Yves Lefevre, Christophe Xue, Wenzhe Zhu, Xiangjun Liang, Jianming Oksuz, Ilkay Unay, Devrim Kadipasoglu, Kamuran Estepar, Raul San Jose Ross, James C. Washko, George R. Prieto, Juan-Carlos Hernandez Hoyos, Marcela Orkisz, Maciej Meine, Hans Huellebrand, Markus Stoecker, Christina Mir, Fernando Lopez Naranjo, Valery Villanueva, Eliseo Staring, Marius Xiao, Changyan Stoel, Berend C. Fabijanska, Anna Smistad, Erik Elster, Anne C. Lindseth, Frank Foruzan, Amir Hossein Kiros, Ryan Popuri, Karteek Cobzas, Dana Jimenez-Carretero, Daniel Santos, Andres Ledesma-Carbayo, Maria J. Helmberger, Michael Urschler, Martin Pienn, Michael Bosboom, Dennis G. H. Campo, Arantza Prokop, Mathias de Jong, Pim A. Ortiz-de-Solorzano, Carlos Munoz-Barrutia, Arrate van Ginneken, Bram Univ Navarra Ctr Appl Med Res E-31080 Pamplona Spain Radboud Univ Nijmegen Med Ctr Diagnost Image Anal Grp NL-6525 ED Nijmegen Netherlands Inst SudParis Telecom Paris France Arizona State Univ Tempe AZ 85287 USA Bahcesehir Univ Istanbul Turkey Brigham & Womens Hosp Boston MA 02115 USA Univ Lyon CREATIS Lyon France Univ Los Andes Bogota Colombia Fraunhofer MEVIS Bremen Germany Leiden Univ Med Ctr Div Image Proc LKEB NL-2300 RA Leiden Netherlands Hunan Univ Changsha Hunan Peoples R China Lodz Univ Technol Inst Appl Comp Sci Lodz Poland Norwegian Univ Sci & Technol Oslo Norway Shahed Univ Tehran Iran Univ Alberta Edmonton AB T6G 2M7 Canada Univ Politecn Madrid E-28040 Madrid Spain CIBER BBN Zaragoza Spain Graz Univ Technol Inst Comp Vis & Graph A-8010 Graz Austria Ludwig Boltzmann Inst Clin Forens Imaging Graz Austria Ludwig Boltzmann Inst Lung Vasc Res Graz Austria Univ Navarra Univ Navarra Clin Dept Pulm E-31080 Pamplona Spain Univ Med Ctr Dept Radiol Utrecht Netherlands
The VESSEL12 (VESsel SEgmentation in the Lung) challenge objectively compares the performance of different algorithms to identify vessels in thoracic computed tomography (CT) scans. Vessel segmentation is fundamental ... 详细信息
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