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检索条件"主题词=Algorithm Configuration"
64 条 记 录,以下是31-40 订阅
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Automated configuration and Usage of Strategy Portfolios for Mixed-Motive Bargaining  22
Automated Configuration and Usage of Strategy Portfolios for...
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Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems
作者: Bram M. Renting Holger H. Hoos Catholijn M. Jonker Leiden University & Delft University of Technology Leiden Netherlands RWTH Aachen & Leiden University Aachen Germany Delft University of Technology & Leiden University Delft Netherlands
Bargaining can be used to resolve mixed-motive games in multi-agent systems. Although there is an abundance of negotiation strategies implemented in automated negotiating agents, most agents are based on single fixed ... 详细信息
来源: 评论
Predicting CMA-ES Operators as Inductive Biases for Shape Optimization Problems
Predicting CMA-ES Operators as Inductive Biases for Shape Op...
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IEEE Symposium Series on Computational Intelligence (IEEE SSCI)
作者: Friess, Stephen Tino, Peter Menzel, Stefan Sendhoff, Bernhard Yao, Xin Univ Birmingham Sch Comp Sci CERCIA Birmingham W Midlands England Honda Res Inst Europe Offenbach Germany Southern Univ Sci & Technol Shenzhen Peoples R China
Domain-dependent expertise knowledge and high-level abstractions to arbitrate between different problem domains can be considered to be essential components of how human problem-solvers build experience and reuse it o... 详细信息
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Machine Learning Approach to Efficient Hyperparameters Search for Video Streams Semantic Analysis algorithms
Machine Learning Approach to Efficient Hyperparameters Searc...
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IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus)
作者: Krymov, Roman A. Khamukhin, Anatoly, V RnD Ctr ELVEES Moscow Russia
Computer vision algorithms have complex set of parameters that significantly influence resulting quality. On the one hand, such a big amount of parameters that can be varied results in algorithm ability to fit for par... 详细信息
来源: 评论
Reuse-centric k-means configuration
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INFORMATION SYSTEMS 2021年 100卷 101787-101787页
作者: Zhang, Lijun Guan, Hui Ding, Yufei Shen, Xipeng Krim, Hamid Univ Massachusetts Amherst MA 01002 USA Univ Calif Santa Barbara Santa Barbara CA 93106 USA North Carolina State Univ Raleigh NC 27606 USA
K-means configuration is to find a configuration of k-means (e.g., the number of clusters, feature sets) that maximize some objectives. It is a time-consuming process due to the iterative nature of k-means. This paper... 详细信息
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Per-Instance configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis
Per-Instance Configuration of the Modularized CMA-ES by Mean...
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IEEE Symposium Series on Computational Intelligence (IEEE SSCI)
作者: Prager, Raphael Patrick Trautmann, Heike Wang, Hao Baeck, Thomas H. W. Kerschke, Pascal Univ Munster Stat & Optimizat Munster Germany Sorbonne Univ LIP6 Paris France Leiden Univ Leiden Inst Adv Comp Sci Leiden Netherlands
In this paper, we rely on previous work proposing a modularized version of CMA-ES, which captures several alterations to the conventional CMA-ES developed in recent years. Each alteration provides significant advantag... 详细信息
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Configuring the Perturbation Operations of an Iterated Local Search algorithm for Cross-domain Search: A Probabilistic Learning Approach
Configuring the Perturbation Operations of an Iterated Local...
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IEEE Congress on Evolutionary Computation (IEEE CEC)
作者: Adubi, Stephen A. Oladipupo, Olufunke O. Olugbara, Oludayo O. Covenant Univ Dept Comp & Informat Sci Ota Nigeria Durban Univ Technol Dept Informat Technol ICT & Soc Res Grp Durban South Africa
Hyper-heuristics are general-purpose heuristic search methodologies for solving combinatorial optimization problems (COPs). Research findings have revealed that hyper-heuristics still suffer generalization issues as d... 详细信息
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Adaptive Differential Evolution based on Exploration and Exploitation Control
Adaptive Differential Evolution based on Exploration and Exp...
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IEEE Congress on Evolutionary Computation (IEEE CEC)
作者: Bai, Hao Huang, Changwu Yao, Xin INSA Rouen Normandy Lab Mech Normandy LMN F-76000 Rouen France Southern Univ Sci & Technol Dept Comp Sci & Engn Guangdong Prov Key Lab Brain Inspired Intelligent Shenzhen 518055 Peoples R China
Search operator design and parameter tuning are essential parts of algorithm design. However, they often involve trial-and-error and are very time-consuming. A new differential evolution (DE) algorithm with adaptive e... 详细信息
来源: 评论
SMAC3: a versatile Bayesian optimization package for hyperparameter optimization
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2022年 第1期23卷 2475-2483页
作者: Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng Carolin Benjamins Tim Ruhkopf René Sass Frank Hutter Leibniz University Hannover University of Freiburg University of Freiburg and Bosch Center for Artificial Intelligence
algorithm parameters, in particular hyperparameters of machine learning algorithms, can substantially impact their performance. To support users in determining well-performing hyperparameter configurations for their a... 详细信息
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ACVIZ: A tool for the visual analysis of the configuration of algorithms with irace
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OPERATIONS RESEARCH PERSPECTIVES 2021年 8卷
作者: de Souza, Marcelo Ritt, Marcus Lopez-Ibanez, Manuel Perez Caceres, Leslie Santa Catarina State Univ Florianopolis SC Brazil Univ Fed Rio Grande do Sul Porto Alegre RS Brazil Univ Malaga Malaga Spain Pontificia Univ Catolica Valparaiso Valparaiso Chile
This paper introduces acviz, a tool that helps to analyze the automatic configuration of algorithms with irace. It provides a visual representation of the configuration process, allowing users to extract useful inform... 详细信息
来源: 评论
Population Step Forward Encoding algorithm: Improving the signal encoding accuracy and efficiency of spike encoding algorithms
Population Step Forward Encoding Algorithm: Improving the si...
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作者: de Gelder, Luuk Delft University of Technology
学位级别:硕士
Conversion from digital information to spike trains is needed for Spiking Neural Networks. Moreover, it is one of the most important steps for Spiking Neural Networks. This conversion could lead to much information lo... 详细信息
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