Selection of predictors for multivariable modelling. by Louise C. Kenny (114837)

Simultaneous Variable and Covariance Selection With the Multivariate Spike-and-Slab LASSO by Sameer K. Deshpande (6490061)

“…<p>We propose a Bayesian procedure for simultaneous variable and covariance selection using continuous spike-and-slab priors in multivariate linear regression models where <i>q</i> possibly correlated responses are regressed onto <i>p</i> predictors. …”

Flow chart of the study population selection. by Elisa Dal Canto (9582176)

Most important features as selected by the Sequential Feature Selection algorithm (where appropriate) and found optimal hyperparameters for the top 3 scoring models. by Andres Portocarrero-Bonifaz (21367929)

The analyses results of univariate and multivariate logistic regression model. by Mingyang Zhang (513334)

Bayesian Semiparametric Analysis of Multivariate Continuous Responses, With Variable Selection by Georgios Papageorgiou (2560474)

“…To tackle these problems, we have developed priors over the smooth functions and a Markov chain Monte Carlo algorithm for inference and model selection. Specifically, Dirichlet process mixtures of Gaussian distributions are used as the basis for a cluster-inducing prior over the elements of the correlation matrix. …”

Multivariate logistic regression analysis of clinical predictors of histology. by Yalin Zhang (525749)

Immune infiltration analysis of the prognostic model in LIHC using multiple algorithms. by Shuang Zheng (768179)

Flowchart of study selection. by Soheil Mohammadi (12468952)

Algorithm design of XGBoost Cox model used in 1°P-CARDIAC full model. by Yekai Zhou (17285873)

Model selection standards. by Muhammad Atif (2575789)

A Class of Hierarchical Multivariate Wiener Processes for Modeling Dependent Degradation Data by Guanqi Fang (16714382)

“…To infer model parameters, expectation-maximization (EM) algorithms and several tools for model validation and selection are developed. …”

Hyperparameters’ setting for PSO algorithm. by Feng Shen (151470)

“…<div><p>In this study, the traditional lag structure selection method in the Mixed Data Sampling (MIDAS) regression model for forecasting GDP was replaced with a machine learning approach using the particle swarm optimization algorithm (PSO). …”

Feature selection hidden Markov model. by Roberto A. Cárdenas-Ovando (3966425)

Multivariate logistic regression analysis. by Chaoqun Huang (529718)

“…Feature selection was performed using the least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression. …”

The most relevant predictors of scrub typhus selected by CART (using R) and by the multivariate logistic regression (M-LR) approach (using STATA). by Hanh Thi Duc Tran (12501284)

Anova results showing the significance of PLS methods and factor selection measures in explaining the variation in accuracy of the models are presented. by Maryam Sadiq (7046903)

Subjects:

Predictive performance of 9 ML algorithms in training and validation sets for LAT/SEC in NVAF patients. by Chaoqun Huang (529718)

Overview of ML model selection and training for WT power output prediction. by Montaser Abdelsattar (20606102)

Hyperparameter settings of the algorithm 1. by Jin Xu (31283)

“…Therefore, this paper presents a novel adaptive control structure for the Twin Delayed Deep Deterministic Policy Gradient algorithm, which is based on a reference trajectory model (TD3-RTM). …”