Results 11 to 20 of about 4,817,340 (289)
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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Electronics, 2021 Thyroid disease is characterized by abnormal development of glandular tissue on the periphery of the thyroid gland. Thyroid disease occurs when this gland produces an abnormally high or low level of hormones, with hyperthyroidism (active thyroid gland ...
Tehseen Akhtar +7 more
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Attribute Selection for a Discrete Choice Experiment Incorporating a Best-Worst Scaling Survey.
Value in Health, 2021 OBJECTIVES Although literature exists on using qualitative methods to generate potential attributes for a discrete choice experiment (DCE), there is little on selecting which attributes to include.
Edward J. D. Webb +9 more
semanticscholar +1 more source
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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Future Internet, 2022 This paper addresses the regression modeling of local environmental pollution levels for electric power industry needs, which is fundamental for the proper design and maintenance of high-voltage transmission lines and insulators in order to prevent ...
Peter Krammer +7 more
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Attribute Selecting in Tree-Augmented Naive Bayes by Cross Validation Risk Minimization
Mathematics, 2021 As an important improvement to naive Bayes, Tree-Augmented Naive Bayes (TAN) exhibits excellent classification performance and efficiency since it allows that every attribute depends on at most one other attribute in addition to the class variable ...
Shenglei Chen +2 more
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Optimal Granularity Selection and Attribute Reduction in Meso-granularity Space [PDF]
Jisuanji kexue, 2023 The conventional formal concept analysis adopts a meso-granularity formal context to meet the requirements of cross-layer granulation of data.However,it does not effectively combine the search for optimal granularity with attribute reduction,nor does it ...
LI Teng, LI Deyu, ZHAI Yanhui, ZHANG Shaoxia
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