Results 1 to 10 of about 129,745 (165)
Discriminable Multi-Label Attribute Selection for Pre-Course Student Performance Prediction [PDF]
Entropy, 2021 The university curriculum is a systematic and organic study complex with some immediate associated steps; the initial learning of each semester’s course is crucial, and significantly impacts the learning process of subsequent courses and further studies.
Jie Yang +3 more
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Patterns in Attribute Selection and Development Reporting in Patient Preference Studies Between 2007 and 2024: A Systematic Literature Review [PDF]
Journal of Health Economics and Outcomes Research# Background Discrete choice experiments (DCE) are commonly used for understanding patient preferences. However, their validity relies upon appropriate attribute selection and development.
Siu Hing Lo +3 more
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Attribute selection with fuzzy decision reducts [PDF]
Information Sciences, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chris Cornelis, Richard Jensen
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Attribute Selection via Maximizing Independent-and-Effective Classification Information Ratio [PDF]
Jisuanji kexue yu tansuo, 2022 Attribute selection in rough set theory has wide practical application values. Most existing attribute selection approaches neglect the relationship among the classification information and redundant information brought by the candidate attribute, and ...
LIU Ye, DAI Jianhua, CHEN Jiaolong
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Machine Learning-Based Energy Consumption Estimation of Wastewater Treatment Plants in Greece
Energies, 2023 Amidst a global discourse on energy resources, it is imperative to provide decision makers with a comprehensive overview of energy consumption (EC) associated with various projects, particularly wastewater treatment plants (WWTPs).
Panagiotis Karadimos +1 more
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Dwell Time Estimation of Import Containers as an Ordinal Regression Problem
Applied Sciences, 2021 The optimal stacking of import containers in a terminal reduces the reshuffles during the unloading operations. Knowing the departure date of each container is critical for optimal stacking.
Laidy De Armas Jacomino +5 more
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Clustering in Wineinformatics with Attribute Selection to Increase Uniqueness of Clusters
Fermentation, 2021 Wineinformatics is a new data science research area that focuses on large amounts of wine-related data. Most of the current Wineinformatics researches are focused on supervised learning to predict the wine quality, price, region and weather.
Jared McCune, Alex Riley, Bernard Chen
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MLP-Based Attribute Selection Method for Handwritten Signatures Authentication [PDF]
ITM Web of Conferences, 2023 Finding the most unique traits that have strong discrimination capacities to be used for confirmation, in particular with reference to the substantial variation that’s intrinsic in real signatures, is among the main difficulties in developing an ...
Wani Hemant A. +2 more
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IEEE Access, 2021 Attribute selection is the process of selecting relevant attributes being used in model construction to enhance model accuracy. For general medical oriented classification applications, classical attribute selection methods principally select common ...
Supansa Chaising +2 more
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Frontiers in Psychology, 2021 Maximum deviation global discrimination index (MDGDI) is a new item selection method for cognitive diagnostic computerized adaptive testing that allows for attribute coverage balance. We developed the maximum limitation global discrimination index (MLGDI)
Junjie Li +3 more
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