بدائل البحث:
where optimization » whale optimization (توسيع البحث), phase optimization (توسيع البحث), other optimization (توسيع البحث)
joint optimization » policy optimization (توسيع البحث), wolf optimization (توسيع البحث), codon optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data where » data were (توسيع البحث), dataset where (توسيع البحث)
data joint » data point (توسيع البحث), data points (توسيع البحث)
where optimization » whale optimization (توسيع البحث), phase optimization (توسيع البحث), other optimization (توسيع البحث)
joint optimization » policy optimization (توسيع البحث), wolf optimization (توسيع البحث), codon optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data where » data were (توسيع البحث), dataset where (توسيع البحث)
data joint » data point (توسيع البحث), data points (توسيع البحث)
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21
Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods
منشور في 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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22
Seed mix selection model
منشور في 2022"…The genetic algorithm then operated over 1000 iterations, applying crossover and mutation processes to optimize bee richness. …"
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23
Flow diagram of the automatic animal detection and background reconstruction.
منشور في 2020"…(H) The region of interest is the area where movement has been detected. The algorithm will now restrict the search for the animal to this region. …"
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24
Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
منشور في 2025"…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…"