… sample classification and difficult classification of individual classes, this paper proposes
a new … Latent max-margin multi-task learning with skelets for 3d action recognition. IEEE …

… Logistic regression. Perform latent profile analysis was performed by using Mplus 8.3 to
identify latent classes of endocrine treatment-related adverse events in prostate cancer patients. …

… Latent profile analysis was used to characterize their … factor analysis and binary Logistic
regression were performed. … Binary Logistic regression showed that annual income ≥50,000 …

… Logistic regression, a commonly used algorithm, can model the … between classes while
minimizing the variance within each class. … multiple models to select the best one for a given task. …

… and Adolescents, school-based surveillance … Latent class growth mixture modeling was
used to identify the BMI-Z trajectories in different genders, and multivariate logistic regression …

… intention choice model based on the latent class choice model (… , multimodal traffic
assignment model with departure time for … for fitting latent鄄class conditional logit models via the …

… The latent class growth … ,logistic regression analysis showed that gastric cancer patients
with poorer self⁃management efficacy and motor function were more likely to be assigned to the …

… However, as we aim to demonstrate in the rest of this article, moving from ideal models to
robust applications resembles the task that engineers face. They know the theory from physics …

… hypothesis of traditional Logit model is relaxed to the limited utility maximization hypothesis,
and the Logit model under bounded rationality (bounded rational binary Logit model, BRBL) …

… The stage of recruiting and selecting the right person for a task is one of the most important
… article, AI models can help managers in deciding to choose the right person for the task by …