Search alternatives:
process optimization » model optimization (Expand Search)
convex optimization » codon optimization (Expand Search), model optimization (Expand Search), dose optimization (Expand Search)
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based convex » based complex (Expand Search), based cancer (Expand Search), based covid (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
process optimization » model optimization (Expand Search)
convex optimization » codon optimization (Expand Search), model optimization (Expand Search), dose optimization (Expand Search)
binary damage » binary image (Expand Search), binary data (Expand Search)
based convex » based complex (Expand Search), based cancer (Expand Search), based covid (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
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Performance on GradEva.
Published 2024“…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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The considered test problems.
Published 2024“…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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Performance on FunEva.
Published 2024“…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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Performance on Iter.
Published 2024“…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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Continuation of Table 2.
Published 2024“…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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Probability flux balances can determine biochemical rates regardless of global network dynamics.
Published 2022“…Although probability distributions differed greatly between the four systems, <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010183#pcbi.1010183.e006" target="_blank">Eq (4)</a> could identify the functional dependence of the production rate of X<sub>3</sub> based on the numerical convex optimization algorithm detailed in the Materials & Methods. …”
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Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
Published 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.…”