Algorithm process of BPNN. حسب Xiaoxiang Cao (12644851)

Machine learning algorithm parameters. حسب Namal Rathnayake (15361124)

"…Results of the study showcased that both systems can simulate river flows as a function of catchment rainfalls; however, the Cat gradient Boosting algorithm (CatBoost) has a computational edge over the Adaptive Network Based Fuzzy Inference System (ANFIS). …"

Construction of the PRG score index using integrated machine learning algorithms. حسب Xiangxin Wu (22320058)

الموضوعات:

The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. حسب Ahmed M. Elshewey (21463867)

"…<p>The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms.…"

Model selection for machine learning algorithm based on microbial abundances. حسب Elio L. Herzog (11576876)

الموضوعات: "…applying independent algorithms…"

Flowchart of the proposed algorithm. حسب Heewon Chung (2881286)

الموضوعات:

AIF and VOF derived features used to feed the machine learning algorithms. حسب Ezequiel de la Rosa (11361108)

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)

Key gene identification based on two machine learning algorithms. حسب Lijun Guo (605276)

Trainable parameters for different algorithms. حسب Anwar Hossain Efat (19942283)

Ranking machine learning algorithms based on AUC. حسب F. William Townes (3216846)

"…<p>Numeric values indicate the fraction of times the row algorithm has higher classification performance than the column algorithm. pglm: elastic net penalized logistic regression, svm: support vector machine with radial basis function, xgb: gradient boosted trees, nb: naive Bayes, knn: k-nearest neighbors.…"

Parameters of the test function. حسب Yiqiong Gao (16698968)

"…The adaptive adjustment of the transition probability effectively balances the development and exploration abilities of the algorithm. The improved flower pollination algorithm (IFPA) outperformed six classical benchmark functions that were used to verify the superiority of the improved algorithm. …"

Model construction and validation (A) Construction of the model based on multiple machine learning algorithms. حسب Chengting Wu (21485612)

Benchmark functions. حسب Mingjun Li (178925)

الموضوعات:

Modeling effect of different automl algorithms. حسب Guangyuan Ge (11520226)

The Effect of Machine Learning Algorithms on the Prediction of Layer-by-Layer Coating Properties حسب Tijana Šušteršič (14519970)

الموضوعات:

Result of benchmark functions. حسب Mingjun Li (178925)

الموضوعات:

Automatic translation error detection based on fuzzy decision tree algorithm. حسب Danqiangyu Zhou (22146196)

الموضوعات:

Table 1_Machine learning-based gait adaptation dysfunction identification using CMill-based gait data.docx حسب Hang Yang (577653)

"…Features were extracted from demographics, gait kinematics, and gait adaptability datasets. ML models based on Support Vector Machine, Decision Tree, Multi-layer Perceptron, K-Nearest Neighbors, and AdaCost algorithm were trained to classify individuals with and without GAD. …"