The hyperparameters selected for CLPREM, as well as other settings of the model, were determined based on experience and testing. by Xiaorui Wu (8322705)

An improved Grey Wolf Optimization based heuristic initialization algorithm for feature selection in P2P lending default prediction by Muhammad Sam'an (20649621)

SVR and MLPR algorithm flow optimized by GridSearchCV. by Jintao Li (448681)

Flow chart of particle swarm algorithm. by Nour Eldeen Mahmoud Khalifa (19259450)

Subjects:

Ranking of Pareto set methods on the Banana dataset based on closeness to the optimal point. by Mohammed Shalaby (18297650)

Ranking of Pareto set methods on the USPS dataset based on closeness to the optimal point. by Mohammed Shalaby (18297650)

Hyperparameter search space used in the optimization of the Basic DeepInsight-CNN. by Leonides Medeiros Neto (10429179)

Subjects:

More Numerical Precision for Less Compute Cost: Optimizing a Local Correlation Algorithm for Second Order Møller–Plesset Theory and Comparing against Pair Natural Orbital Methods... by Zhenling Wang (306377)

More Numerical Precision for Less Compute Cost: Optimizing a Local Correlation Algorithm for Second Order Møller–Plesset Theory and Comparing against Pair Natural Orbital Methods... by Zhenling Wang (306377)

Ranking of Pareto set methods on the Adult9a dataset based on closeness to the optimal point. by Mohammed Shalaby (18297650)

A comparison among different optimizations and classifiers. by Nour Eldeen Mahmoud Khalifa (19259450)

Subjects:

Wrapper-based feature selection methods. by Xiaohua Zeng (793632)

Demonstration of algorithm convergence. by Quyuan Wang (8724972)

“…To maintain dynamic market equilibrium, we develop two types of pricing algorithms, one based on stepped price adjustments for selected sellers, and another based on smoothed adjustments for all sellers. …”

General procedural flow of clustering algorithm. by Sandeep Yerrathi (17775761)

“…The results show that AVOCA generates 40% less clusters when compared to the Clustering Algorithm Based on Moth-Flame Optimization for VANETs (CAMONET). …”

KNN algorithm flowchart. by Guilian Feng (18530806)

“…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …”

MGA algorithm flowchart. by Guilian Feng (18530806)

“…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …”

Sensitivity analysis of the proposed algorithm. by Guilian Feng (18530806)

“…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …”

GA-KNN algorithm flowchart. by Guilian Feng (18530806)

“…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …”

Optimal cluster head approach. by Sandeep Yerrathi (17775761)

“…The results show that AVOCA generates 40% less clusters when compared to the Clustering Algorithm Based on Moth-Flame Optimization for VANETs (CAMONET). …”

Optimal cluster formation approach. by Sandeep Yerrathi (17775761)

“…The results show that AVOCA generates 40% less clusters when compared to the Clustering Algorithm Based on Moth-Flame Optimization for VANETs (CAMONET). …”