Algorithm parameter settings. حسب Yue Guo (695495)

Runtime of fitting algorithm (for single λ) on each of three real omics data sets. حسب Evan Gorstein (20553314)

Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

"…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. The proposed method incorporates interpolation of the coprime array and signal subspace fitting. …"

Parameter Settings for competitive algorithms. حسب Genliang Li (5816264)

"…This approach encompasses a novel nonlinear parameter control strategy to balance exploration and exploitation effectively, thereby preventing the algorithm from converging prematurely. Additionally, an adaptive fitness distance balancing mechanism is proposed to prevent premature convergence and enhance search efficiency by selecting high-potential solutions. …"

Spatial spectrum estimation for three algorithms. حسب Chuanxi Xing (20141665)

"…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. The proposed method incorporates interpolation of the coprime array and signal subspace fitting. …"

Steps in the proposed Apriori algorithm. حسب Yongkang Ding (21807539)

"…The study adopted the Apriori association rule algorithm in data mining. First, the physical data of basketball players were collected and preprocessed. …"

Prediction results under the association rule algorithm. حسب Yongkang Ding (21807539)

Comparison of the 25 ML algorithms in terms of precision, delay, and ROC-AUC. حسب Tian Xia (139140)

Data of the validation set with a sample size of 1000. حسب Liyu Lin (5760167)

Data of the validation set with a sample size of 500. حسب Liyu Lin (5760167)

Data of the validation set with a sample size of 200. حسب Liyu Lin (5760167)

The standard deviations across simulated data sets of non-zero estimates of penalized coefficients under different omics studies. حسب Evan Gorstein (20553314)

The empirical distribution function and fitted distribution functions for data sets <i>Q</i> and <i>T</i>. حسب Salem A. Alyami (10572611)

Gene expression simulation settings. حسب Evan Gorstein (20553314)

The fitness of ANEAT model evolution. حسب Wenbing Shi (5806160)

الموضوعات:

The fitness of NANEAT model evolution. حسب Wenbing Shi (5806160)

الموضوعات:

Fitted density estimates under the clustering solution of the K⋅R model. حسب Koyel Majumdar (20416871)

الموضوعات:

Fitted density estimates under the K⋅R model on a simulated dataset. حسب Koyel Majumdar (20416871)

الموضوعات:

The parameter setting of the evolutionary neural network. حسب Wenbing Shi (5806160)

الموضوعات:

Variable selection of final model fits in all gene expression simulation settings with <i>q</i> = 3 random effects. حسب Evan Gorstein (20553314)