Results 1 to 10 of about 65,918 (173)
A self-driving laboratory advances the Pareto front for material properties [PDF]
Nature Communications, 2022 Useful materials must satisfy multiple objectives. The Pareto front expresses the trade-offs of competing objectives. This work uses a self-driving laboratory to map out the Pareto front for making highly conductive coatings at low temperatures.
Benjamin P. MacLeod +15 more
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Pareto Front Transformation in the Decision-Making Process for Spectral and Energy Efficiency Trade-Off in Massive MIMO Systems [PDF]
SensorsThis paper presents a method of choosing a single solution in the Pareto Optimal Front of the multi-objective problem of the spectral and energy efficiency trade-off in Massive MIMO (Multiple Input, Multiple Output) systems.
Eni Haxhiraj, Desar Shahu, Elson Agastra
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Deep Q-Managed: a new framework for multi-objective deep reinforcement learning [PDF]
Frontiers in Artificial IntelligenceThis paper introduces Deep Q-Managed, a novel multi-objective reinforcement leaning (MORL) algorithm designed to discover all policies within the Pareto Front.
Richardson Menezes +4 more
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pyMCMA: Uniformly distributed Pareto-front representation
SoftwareXpyMCMA is the Python implementation of a novel method for autonomous computation of the Pareto-front representation composed of efficient solutions distributed uniformly in terms of distances between neighbor Pareto solutions. pyMCMA supports scientific,
Marek Makowski +4 more
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The
Statistical Analysis and Data Mining: The ASA Data Science Journal, 2021 AbstractAlgorithmic fairness seeks to identify and correct sources of bias in machine learning algorithms. Confoundingly, ensuring fairness often comes at the cost of accuracy. We provide formal tools in this work for reconciling this fundamental tension in algorithm fairness.
Susan Wei, Marc Niethammer
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Directional Pareto Front and Its Estimation to Encourage Multi-Objective Decision-Making
IEEE Access, 2023 This work introduces the following concepts of directional and estimated directional Pareto front to encourage multi-objective decision making, especially when the Pareto front exists in limited regions in the objective space. The general output of multi-
Tomoaki Takagi +2 more
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Two-Sided Pareto Front Approximations [PDF]
Journal of Optimization Theory and Applications, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kaliszewski, I., Miroforidis, J.
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Active Learning of Pareto Fronts [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2014 This paper introduces the active learning of Pareto fronts (ALP) algorithm, a novel approach to recover the Pareto front of a multiobjective optimization problem. ALP casts the identification of the Pareto front into a supervised machine learning task. This approach enables an analytical model of the Pareto front to be built.
Campigotto, Paolo +2 more
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Direct Tracking of the Pareto Front of a Multi-Objective Optimization Problem
Journal of Marine Science and Engineering, 2020 In this paper, some methodologies aimed at the identification of the Pareto front of a multi-objective optimization problem are presented and applied. Three different approaches are presented: local sampling, Pareto front resampling and Normal Boundary ...
Daniele Peri
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BMC Bioinformatics, 2022 Background Single-cell RNA sequencing (scRNA-seq) technology has contributed significantly to diverse research areas in biology, from cancer to development.
Hui Li +3 more
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