Search alternatives:
process optimization » model optimization (Expand Search)
joint optimization » policy optimization (Expand Search), wolf optimization (Expand Search), codon optimization (Expand Search)
simple process » single process (Expand Search), complex process (Expand Search), sample processing (Expand Search)
total simple » total sample (Expand Search), total complex (Expand Search), total scale (Expand Search)
process optimization » model optimization (Expand Search)
joint optimization » policy optimization (Expand Search), wolf optimization (Expand Search), codon optimization (Expand Search)
simple process » single process (Expand Search), complex process (Expand Search), sample processing (Expand Search)
total simple » total sample (Expand Search), total complex (Expand Search), total scale (Expand Search)
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Optimal contrast analysis with heterogeneous variances and budget concerns
Published 2019“…The proposed allocation strategies combine the computing techniques of nonlinear optimization search and iterative screening process. …”
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Portable Mass Spectrometry Approach Combined with Machine Learning for Onsite Field Detection of Huanglongbing Disease
Published 2023“…This new HLB field detection method provides a rapid detection with 6 min for each sample <i>via</i> a simple optimized procedure, including onsite sampling, PGC–MS analysis, and data process and provides a high accuracy (93.3%) for simultaneous identification of healthy, symptomatic, and asymptomatic trees. …”
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Supplementary Material for: Penalized Logistic Regression Analysis for Genetic Association Studies of Binary Phenotypes
Published 2022“…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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Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods
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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Exercise Selection and Common Injuries in Fitness Centers: A Systematic Integrative Review and Practical Recommendations - Protocol
Published 2022“…Nevertheless, the basic methodology will be optimized by improving the stages of problem formulation, literature search, evaluation, analysis, and presentation of findings in order to systematize the review process and improve the scientific robustness according to recommendations given by Hopia et al. (2016) and the PRISMA in Exercise, Rehabilitation, Sport medicine and SporTs science (PERSiST) guidelines (2022).…”
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Effects of plant-based diets in endurance athletes: a scoping review and practical nutritional recommendations – Protocol
Published 2023“…., 2018). It will also optimize the basic methodology in the stages of problem formulation, bibliographic search, evaluation, analysis, and presentation of findings to systematize the review process and improve scientific robustness, following the latest recommendations of the Joanna Briggs Institute (JBI) for scoping reviews (Peters et al., 2020). …”