Optimized process of the random forest algorithm. حسب Hongxia Li (493545)

"…Then, a training set is randomly selected from known coal mine samples, and the training sample set is processed and analyzed using Matlab software. …"

Sample of the comparison of inference given by the adaboost algorithm and the real data. حسب Raphael Souza de Oliveira (12647110)

The parameter settings of the RF algorithm after parameter optimization. حسب Xini Fang (20861990)

The weight optimization process. حسب Guomei Cui (20721578)

"…The dataset covers multiple tests of multiple athletes, ensuring the diversity of samples. Secondly, an optimized machine learning algorithm based on decision tree is adopted. …"

AUW-CE Mining Algorithms & Dataset Hub حسب Shuaikang Yuan (21091847)

"…By integrating a heuristic search mechanism, the algorithm can quickly converge to potential high utility patterns and effectively reduce redundant computational processes. …"

The Search process of the genetic algorithm. حسب Wenguang Li (6528113)

"…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …"

Statistics of GI data processing using different algorithms at various input CTTDs. حسب Ki Hyun Nam (5813819)

الموضوعات:

Statistics of HEWL data processing using different algorithms at various input CTTDs. حسب Ki Hyun Nam (5813819)

الموضوعات:

Simulated solution and the original spectral data of the actual water sample. حسب Wang hongmei (22598690)

Relationship between the three key elements in the sampling process. حسب Xiaochen He (455300)

Description of optimal model parameters. حسب Libo Liu (552605)

Comparative analysis of off-policy PPO algorithm and on-policy algorithm on the a) CSMAR and b) MorningStar datasets. حسب Cai Yuanqing (22513351)

Parameter optimization results of the RF model improved by FCM clustering. حسب Xini Fang (20861990)

Three sensor sample data with noise data. حسب Tang Ruipeng (20141334)

Weights of sample data. حسب Yixuan Lu (9987980)

The construction process of the CGO prediction model. حسب Wenbing Shi (5806160)

<i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

The CGO risk prediction process based on data augmentation and neuroevolution. حسب Wenbing Shi (5806160)

Construction process of RF. حسب Xini Fang (20861990)

"…Following this, the FCM clustering algorithm is utilized for pre-processing sample data to improve the efficiency and accuracy of data classification. …"

Spatial multivariate optimization for a sampling redesign with a reduced sample size of soil chemical properties حسب Tamara Cantú Maltauro (15199725)