بدائل البحث:
resources initialization » resource utilization (توسيع البحث), resource utilisation (توسيع البحث), resource optimization (توسيع البحث)
initialization algorithm » optimization algorithms (توسيع البحث), maximization algorithm (توسيع البحث), identification algorithm (توسيع البحث)
derived optimization » driven optimization (توسيع البحث), required optimization (توسيع البحث), design optimization (توسيع البحث)
data derived » data driven (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
resources initialization » resource utilization (توسيع البحث), resource utilisation (توسيع البحث), resource optimization (توسيع البحث)
initialization algorithm » optimization algorithms (توسيع البحث), maximization algorithm (توسيع البحث), identification algorithm (توسيع البحث)
derived optimization » driven optimization (توسيع البحث), required optimization (توسيع البحث), design optimization (توسيع البحث)
data derived » data driven (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
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Dynamic resource allocation process.
منشور في 2025"…Subsequently, we implement an optimal binary tree decision-making algorithm, grounded in dynamic programming, to achieve precise allocation of elastic resources within data streams, significantly bolstering resource utilization. …"
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<i>hi</i>PRS algorithm process flow.
منشور في 2023"…<b>(C)</b> The whole training data is then scanned, searching for these sequences and deriving a re-encoded dataset where interaction terms are binary features (i.e., 1 if sequence <i>i</i> is observed in <i>j</i>-th patient genotype, 0 otherwise). …"
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Supplementary Material for: Penalized Logistic Regression Analysis for Genetic Association Studies of Binary Phenotypes
منشور في 2022"…Our estimate of m is the maximizer of a marginal likelihood obtained by integrating the latent log-ORs out of the joint distribution of the parameters and observed data. We consider two approximate approaches to maximizing the marginal likelihood: (i) a Monte Carlo EM algorithm (MCEM) and (ii) a Laplace approximation (LA) to each integral, followed by derivative-free optimization of the approximation. …"
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