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

Subjects:

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

Overall systemic risk in banking networks with different matching algorithms. by Bo Zhu (118038)

Optimized network structure. by Menaa Nawaz (14304920)

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

Subjects:

Image size vs feature overlap. by Leonides Medeiros Neto (10429179)

Subjects:

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

Subjects:

Table_1_Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning.DOCX by Maruf A. Tamal (18947776)

“…Subsequently, data cleansing, curation, and dimensionality reduction were performed to remove outliers, handle missing values, and exclude less predictive features. To identify the optimal model, the study evaluated and compared 15 SML algorithms arising from different machine learning (ML) families, including Bayesian, nearest-neighbors, decision trees, neural networks, quadratic discriminant analysis, logistic regression, bagging, boosting, random forests, and ensembles. …”

Table_2_Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning.DOCX by Maruf A. Tamal (18947776)

“…Subsequently, data cleansing, curation, and dimensionality reduction were performed to remove outliers, handle missing values, and exclude less predictive features. To identify the optimal model, the study evaluated and compared 15 SML algorithms arising from different machine learning (ML) families, including Bayesian, nearest-neighbors, decision trees, neural networks, quadratic discriminant analysis, logistic regression, bagging, boosting, random forests, and ensembles. …”

An example of a 5x5 Feature Density Matrix. by Leonides Medeiros Neto (10429179)

Subjects:

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

Post scan feature estimates and confidence ratings. by Sam Hall-McMaster (10343795)

Decoding evidence for feature triplets on test tasks. by Sam Hall-McMaster (10343795)

“…<p>Another neural hypothesis formulated based on the SF&GPI algorithm is that feature triplets associated with the optimal training policies should be reactivated on test trials. …”

Prediction percentage distribution using different algorithms applied in our research. by Md Junayed Hossain (22615268)

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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. …”

Image_1_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

Image_5_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

Image_2_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

Image_3_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)