بدائل البحث:
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
boruta algorithm » forest algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
boruta algorithm » forest algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
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Schematic representation of file structures before and after virus infections
منشور في 2025الموضوعات: -
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Guidance_Environment_Code_and_Data_v3.1
منشور في 2025"…<p dir="ltr">This file contains the code and data (with guidance and environment files ) of the paper: HMLPA*: A Hierarchical Multi-target LPA* Pathfinding Algorithm Designed for Dynamic Indoor Road Network.…"
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168
Development of a pre-discharge model for 1-year post-discharge all-cause mortality after endovascular treatment for aneurysmal subarachnoid haemorrhage using LASSO–Boruta feature s...
منشور في 2025"…Candidate variables were selected using the least absolute shrinkage and selection operator (LASSO) combined with the Boruta algorithm. Based on these features, six models – logistic regression (LR), XGBoost, random forest (RF), AdaBoost, decision tree, and gradient boosting decision tree (GBDT) – were developed and compared. …"
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169
The CGO risk prediction process based on data augmentation and neuroevolution.
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Computation time as a function of the sample size on the chain graph dataset.
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Computation time as a function of the sample size on the random graph dataset.
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175
F1 score of edges selected through cross-validation on the chain graph dataset.
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Examples of ground-truth graph structures with (<i>p</i>, <i>n</i><sub>≠0</sub>) = (10, 10).
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Number of edges selected through cross-validation on the chain graph dataset.
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179
Number of edges selected through cross-validation on the random graph dataset.
منشور في 2024الموضوعات: -
180