بدائل البحث:
one optimization » dose optimization (توسيع البحث), convex optimization (توسيع البحث), model optimization (توسيع البحث)
binary least » ordinary least (توسيع البحث), binary health (توسيع البحث), binary depot (توسيع البحث)
one optimization » dose optimization (توسيع البحث), convex optimization (توسيع البحث), model optimization (توسيع البحث)
binary least » ordinary least (توسيع البحث), binary health (توسيع البحث), binary depot (توسيع البحث)
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Programs to evaluate superoptimizer STOKE.
منشور في 2022"…<p>STOKE is one of the Superoptimizers which are programs that given a function and a set of instructions of a processor, traverse through a space of programs that compute a given function and try to find the optimal usually in terms of execution speed or size of the binary. …"
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Table_1_iRNA5hmC: The First Predictor to Identify RNA 5-Hydroxymethylcytosine Modifications Using Machine Learning.docx
منشور في 2020"…In this predictor, we introduced a sequence-based feature algorithm consisting of two feature representations, (1) k-mer spectrum and (2) positional nucleotide binary vector, to capture the sequential characteristics of 5hmC sites. …"
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DataSheet_1_Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.docx
منشور في 2024"…Logistic regression emerged as the optimal machine learning algorithm for both DLR models. …"
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DataSheet_1_Multi-Parametric MRI-Based Radiomics Models for Predicting Molecular Subtype and Androgen Receptor Expression in Breast Cancer.docx
منشور في 2021"…We then built 120 diagnostic models using distinct classification algorithms and feature sets divided by MRI sequences and selection strategies to predict molecular subtype and AR expression of breast cancer in the testing dataset of leave-one-out cross-validation (LOOCV). …"