Showing 1 - 20 results of 25 for search '(( binary based property optimization algorithm ) OR ( binary data across selection algorithm ))', query time: 0.55s Refine Results
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    Data_Sheet_1_A Global Optimizer for Nanoclusters.PDF by Maya Khatun (7437011)

    Published 2019
    “…This method is implemented in PyAR (https://github.com/anooplab/pyar) program. The global optimization in PyAR involves two parts, generation of several trial geometries and gradient-based local optimization of the trial geometries. …”
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    Modeling Pregnancy Outcomes Through Sequentially Nested Regression Models by Xuan Bi (3096897)

    Published 2022
    “…Our approach explicitly bridges the connections across nested outcomes through computationally easy algorithms and enjoys theoretical guarantee of estimation and variable selection. …”
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    Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods by Jiacong Du (12035845)

    Published 2022
    “…Building on existing work, we (i) derive and implement efficient cyclic coordinate descent and majorization-minimization optimization algorithms for continuous and binary outcome data, (ii) incorporate adaptive shrinkage penalties, (iii) compare these methods through simulation, and (iv) develop an R package <i>miselect</i>. …”
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    Sexual behavioural variables by HIV status. by Kwamena W. C. Sagoe (17334446)

    Published 2023
    “…Both biomedical and behavioural data were collected from a total of 2,443 prison inmates from 19 prison stations during 2013 in Ghana; 12 male prisons and 7 female prisons selected across the country. …”
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    Characteristics of study participants. by Kwamena W. C. Sagoe (17334446)

    Published 2023
    “…Both biomedical and behavioural data were collected from a total of 2,443 prison inmates from 19 prison stations during 2013 in Ghana; 12 male prisons and 7 female prisons selected across the country. …”
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    PathOlOgics_RBCs Python Scripts.zip by Ahmed Elsafty (16943883)

    Published 2023
    “…</p><p dir="ltr">In terms of classification, a second algorithm was developed and employed to preliminary sort or group the individual cells (after excluding the overlapping cells manually) into different categories using five geometric measurements applied to the extracted contour from each binary image mask (see PathOlOgics_script_2; preliminary shape measurements). …”
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    DataSheet_1_Near infrared spectroscopy for cooking time classification of cassava genotypes.docx by Massaine Bandeira e Sousa (7866242)

    Published 2024
    “…Cooking data were classified into binary and multiclass variables (CT4C and CT6C). …”
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