In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...

Abstract: Aiming at the problem that it is difficult to learn the optimal solution of Bayesian structure under the condition of small sample data, this paper proposes a Bayesian structure learning ...

How ANOVA helps ensure process data lead to accurate, defensible decisions. The two-sample t-test determines if two population means are equal. Typical applications involve testing whether a new ...

Abstract: A novel random sample partition-based clustering ensemble (RSP-CE) algorithm is proposed in this paper to handle the big data clustering problems. There are three key components in RSP-CE ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The Google Cloud Professional Data Engineer exam validates your ability to design, build, and ...

For each dataset, the cross-validated area under the curve (AUC) was calculated at increasing sample sizes, and learning curves were fit. Sample sizes needed to reach the observed full–dataset AUC ...

A pattern of getting rid of statistics has emerged that echoes the president’s first term, when he suggested if the nation stopped testing for Covid, it would have few cases. The NOAA Center for ...

A research team from the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences has introduced a novel feature selection method by removing noise entropy within ...