Critical values of membership functions learned from the study cohort by the algorithm. حسب Yufeng Zhang (195768)

WGCNA and machine learning algorithms. حسب Shushu Wang (6870191)

Table_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.DOCX حسب Shakiru A. Alaka (9302864)

"…We evaluate the predictive accuracy of machine-learning algorithms for predicting functional outcomes in acute ischemic stroke patients after endovascular treatment.…"

Data_Sheet_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.PDF حسب Shakiru A. Alaka (9302864)

"…We evaluate the predictive accuracy of machine-learning algorithms for predicting functional outcomes in acute ischemic stroke patients after endovascular treatment.…"

Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning حسب Bernhard Vennemann (7434353)

"…Blood flow recordings from a flow meter at the location of the ascending aorta were analyzed with the algorithms introduced in this article and a diagnostic index was defined that reflects the severity of valvular degradation. …"

Summary of AUC values from different classification algorithms. حسب Christopher E. Niemczak (8586861)

الموضوعات:

Feature selection algorithm. حسب Mahmoud Zeydabadinezhad (12289570)

الموضوعات:

Details of S-shaped and V-shaped functions. حسب Yan Wei (32168)

"…Therefore, this study proposed a feature selection prediction model (bGEBA-SVM) based on an improved bat algorithm and support vector machine by extracting 1694 college graduates from 2022 classes in Zhejiang Province. …"

Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional حسب Ryan Stocks (16867476)

"…Improving algorithmic efficiency through hardware-aware implementations enables application to larger systems and more efficient generation of larger training data sets for machine-learning. …"

Data_Sheet_1_Modeling Macroscopic Material Behavior With Machine Learning Algorithms Trained by Micromechanical Simulations.CSV حسب Denise Reimann (7213364)

Data_Sheet_2_Modeling Macroscopic Material Behavior With Machine Learning Algorithms Trained by Micromechanical Simulations.pdf حسب Denise Reimann (7213364)

Integration of three machine learning algorithms to characterize lipid metabolism-associated hub genes in sepsis and atrial fibrillation. حسب Changze Ou (22806374)

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms حسب Saadiallakh Normatov (20682324)

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms حسب Saadiallakh Normatov (20682324)

Run times of two algorithms. حسب Gourab Saha (8987405)

الموضوعات:

Statistical results of various algorithms. حسب ZeSheng Lin (20501356)

الموضوعات:

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

الموضوعات:

Flowchart of the specific incarnation of the BO algorithm used in the experiments. حسب Lisa Laux (9367681)

"…To choose the next pipeline configuration to evaluate, the BO algorithm uses an Expected Improvement function to trade off maximisation of QS with the need to fully learn the GP. …"

Machine learning analysis of 10 hub genes related to SCI was performed using eight algorithms applied to the dataset. حسب Tianbao Feng (21722233)

Images of partial benchmark functions. حسب ZeSheng Lin (20501356)

الموضوعات: