The convergence curve of each optimization algorithm under the test function. by Hao Yang (328526)

A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases by Maru Song (22593561)

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Testing performance comparison for different algorithms. by Roberto Bárcenas (13924220)

Training performance comparison for different algorithms. by Roberto Bárcenas (13924220)

The SSA based SVM objective function minimization against iterations. by Ali Ahmed (2567584)

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Mean and covariance estimation of functional data streams by Mingxue Quan (13282368)

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Model training accuracy for Random Forest (RF), Multilayer Perceptron (MLP), and Radial Basis Function (RBF) algorithms by adding variables based on the correlation results. by Mohsen Yoosefzadeh-Najafabadi (6917399)

Recursive attention function and loss function change. by Wang Linfeng (17102068)

Algorithm pseudocode. by Cheng-jie Chen (22272090)

“…In order to improve the clarity and visual effect of product appearance design, a visual edge feature enhancement method for product appearance design images based on an improved Retinex algorithm is proposed. …”

DMTD algorithm. by Yunhu Huang (21402795)

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Performance profiles of these algorithms on the basis of the number of function evaluations. by Xianfeng Ding (535904)

“…<p>Performance profiles of these algorithms on the basis of the number of function evaluations.…”

The schematic view of the Radial Basis Function (RBF) algorithm. by Mohsen Yoosefzadeh-Najafabadi (6917399)

“…<p>The schematic view of the Radial Basis Function (RBF) algorithm.</p>…”

The iteration curve of the test function. by Jian Kong (164512)

“…Then the optimization parameters and scope were determined, and multi-objective optimization and direction preference algorithms were introduced. A chaotic optical performance optimization model based on improved multi-objective genetic algorithm was constructed using adaptive functions as evaluation indicators. …”

2lpiRNApred: a two-layered integrated algorithm for identifying piRNAs and their functions based on LFE-GM feature selection by Yun Zuo (8541492)

“…Five feature extraction strategies, namely, Kmer, General parallel correlation pseudo-dinucleotide composition, General series correlation pseudo-dinucleotide composition, Normalized Moreau–Broto autocorrelation, and Geary autocorrelation, and two types of classifier, Sparse Representation Classifier (SRC) and support vector machine with Mahalanobis distance-based radial basis function (SVMMDRBF), were used to construct a two-layered integrated classifier algorithm, 2lpiRNApred. …”

Effect of the transmission probability function on epidemic spread. by Soler Gabriela Bayolo (21011810)

A Quadratic Pair Atomic Resolution of the Identity Based SOS-AO-MP2 Algorithm Using Slater Type Orbitals by Arno Förster (8356044)

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Ranking machine learning algorithms based on AUC. by 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.…”

DataSheet1_Sensor-based outcomes to monitor everyday life motor activities of children and adolescents with neuromotor impairments: A survey with health professionals.pdf by Fabian Marcel Rast (13945515)

Flowchart of whale flock optimization algorithm. by Rongxin Gong (18864603)

“…<i>camphora</i> growth was established using the multiple linear regression (MLR), partial least squares (PLS), support vector regression (SVR), random forest (RF), radial basis function neural network (RBFNN), back propagation neural network (BPNN), and whale optimization algorithm (WOA)-optimized BPNN models. …”

Federated averaging algorithm pseudocode. by Hadi Mohammadian KhalafAnsar (22783784)