بدائل البحث:
robust optimization » process optimization (توسيع البحث), robust estimation (توسيع البحث), joint optimization (توسيع البحث)
column optimization » volume optimization (توسيع البحث), codon optimization (توسيع البحث), wolf optimization (توسيع البحث)
library based » laboratory based (توسيع البحث)
based robust » based probes (توسيع البحث)
binary basic » binary mask (توسيع البحث)
basic column » last column (توسيع البحث), task column (توسيع البحث)
robust optimization » process optimization (توسيع البحث), robust estimation (توسيع البحث), joint optimization (توسيع البحث)
column optimization » volume optimization (توسيع البحث), codon optimization (توسيع البحث), wolf optimization (توسيع البحث)
library based » laboratory based (توسيع البحث)
based robust » based probes (توسيع البحث)
binary basic » binary mask (توسيع البحث)
basic column » last column (توسيع البحث), task column (توسيع البحث)
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21
Code
منشور في 2025"…</p><p><br></p><p dir="ltr">This architecture was implemented using the PyTorch library and trained using cross-entropy loss. The model was optimized to classify RNA sequences, achieving robust performance across multiple test sets.…"
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22
Core data
منشور في 2025"…</p><p><br></p><p dir="ltr">This architecture was implemented using the PyTorch library and trained using cross-entropy loss. The model was optimized to classify RNA sequences, achieving robust performance across multiple test sets.…"
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23
Minisymposterium: Muq-Hippylib: A Bayesian Inference Software Framework Integrating Data with Complex Predictive Models under Uncertainty
منشور في 2021"…By integrating these two libraries, we created a robust, scalable, efficient and productive software framework that realizes the benefits of each to tackle complex large-scale Bayesian inverse problems across a broad spectrum of scientific and engineering areas.…"
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24
SI2-SSI: Integrating Data with Complex Predictive Models under Uncertainty: An Extensible Software Framework for Large-Scale Bayesian Inversion
منشور في 2020"…By integrating these two libraries, we created a robust, scalable, and efficient software framework that realizes the benefits of each to tackle complex large-scale Bayesian inverse problems across a broad spectrum of scientific and engineering areas.…"
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25
SI2-SSI: Integrating Data with Complex Predictive Models under Uncertainty: An Extensible Software Framework for Large-Scale Bayesian Inversion
منشور في 2020"…By integrating these two libraries, we created a robust, scalable, and efficient software framework that realizes the benefits of each to tackle complex large-scale Bayesian inverse problems across a broad spectrum of scientific and engineering areas.…"