The parameter settings of the RF algorithm after parameter optimization. حسب Xini Fang (20861990)

Distributions of model parameters mirror differentially expressed ion channel genes. حسب Daniele Linaro (227790)

Data_Sheet_2_Computational Neural Modeling of Auditory Cortical Receptive Fields.pdf حسب Jordan D. Chambers (6732224)

Data_Sheet_1_Computational Neural Modeling of Auditory Cortical Receptive Fields.PDF حسب Jordan D. Chambers (6732224)

Data_Sheet_3_Computational Neural Modeling of Auditory Cortical Receptive Fields.PDF حسب Jordan D. Chambers (6732224)

Parameter optimization results of the RF model improved by FCM clustering. حسب Xini Fang (20861990)

S1 Code - حسب Gaosha Li (20570760)

"…A combination of four machine learning algorithms (XGBoost、Logistic Regression、Random Forest、AdaBoost) was employed to predict NPM recurrence, and the model with the highest Area Under the Curve (AUC) in the test set was selected as the best model. …"

Evaluation metrics of the models’ performance. حسب Guangwei Liu (181992)

Pseudocode of artificial dragonfly algorithm. حسب Ghassan Ahmed Ali (17041488)

الموضوعات:

Features selected by optimization algorithms. حسب Afnan M. Alhassan (18349378)

"…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …"

Input features. حسب Nicola Lazzarini (3528197)

الموضوعات:

Baseline characteristics of patients in the study cohort. حسب Nicola Lazzarini (3528197)

الموضوعات:

The Hopfield artificial neural network algorithm. حسب Ghassan Ahmed Ali (17041488)

الموضوعات:

Zimbabwe model outputs on actual and optimized 2016 spending and impact by intervention. حسب Nicole Fraser-Hurt (2636833)

Optimized model prediction performance. حسب Guang Tu (22054865)

ECE6379_PSOM.zip حسب Xingpeng Li (11825663)

"…Optimization algorithms that are commonly used to solve these problems will also be covered including linear programming, mixed-integer linear programming, Lagrange relaxation, dynamic programming, branch and bound, and duality theory.…"

Data_Sheet_1_How can age-based vaccine allocation strategies be optimized? A multi-objective optimization framework.ZIP حسب Hao Wu (65943)

Côte d’Ivoire model outputs on actual and optimized 2016 spending and impact by care delivery platform. حسب Nicole Fraser-Hurt (2636833)

Table_1_Screening of Long Non-coding RNAs Biomarkers for the Diagnosis of Tuberculosis and Preliminary Construction of a Clinical Diagnosis Model.docx حسب Juli Chen (12187358)

"…Background<p>Pathogenic testing for tuberculosis (TB) is not yet sufficient for early and differential clinical diagnosis; thus, we investigated the potential of screening long non-coding RNAs (lncRNAs) from human hosts and using machine learning (ML) algorithms combined with electronic health record (EHR) metrics to construct a diagnostic model.…"

Training error and accuracy for all HNN models. حسب Ghassan Ahmed Ali (17041488)

الموضوعات: