بدائل البحث:
model implementation » modular implementation (توسيع البحث), world implementation (توسيع البحث), time implementation (توسيع البحث)
code implementing » model implementing (توسيع البحث), consider implementing (توسيع البحث), _ implementing (توسيع البحث)
model implementation » modular implementation (توسيع البحث), world implementation (توسيع البحث), time implementation (توسيع البحث)
code implementing » model implementing (توسيع البحث), consider implementing (توسيع البحث), _ implementing (توسيع البحث)
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61
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Type II error rate from estimation of simulated outcomes using the EE algorithm.
منشور في 2024الموضوعات: -
63
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64
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65
Type I error rate from estimation of simulated outcomes using the EE algorithm.
منشور في 2024الموضوعات: -
66
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67
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68
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69
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70
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71
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72
CSMILES: A Compact, Human-Readable SMILES Extension for Conformations
منشور في 2025"…A two-way conversion from three-dimensional (3D) structure to CSMILES has been implemented, and the article is accompanied by a Python code which effectuates such conversions. …"
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73
CSMILES: A Compact, Human-Readable SMILES Extension for Conformations
منشور في 2025"…A two-way conversion from three-dimensional (3D) structure to CSMILES has been implemented, and the article is accompanied by a Python code which effectuates such conversions. …"
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74
Flowchart representation of lion optimization algorithm for hyperparameter tuning in the HCAP model.
منشور في 2025الموضوعات: -
75
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76
Five Operator Lattice Simulation
منشور في 2025"…<p dir="ltr">This dataset contains the Python simulation code and supporting documentation for the paper <i>A Five-Operator Lattice of Consciousness: A Logical Framework for Mediation Between Implicit and Explicit Processing</i> (McDaniel, 2025).…"
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77
Code
منشور في 2025"…We divided the dataset into training and test sets, using 70% of the genes for training and 30% for testing. We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …"
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78
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80