Abstract Background and Aims A vast body of theory and research highlights the operation of seriation as a prerequisite to mathematical thinking in young children. However, there is limited evidence that seriation interventions improve early years mathematics.
David Tzuriel, Dikla Hanuka‐Levi
wiley +1 more source
Role of human collaboration in artificial intelligence with fuzzy based mathematical models and decision making problems. [PDF]
Wang J.
europepmc +1 more source
A tutorial for understanding SEM using R: Where do all the numbers come from?
Abstract Structural equation modeling (SEM) is often seen as a complex and difficult method, especially for those who want to understand how the numbers in SEM software output are actually computed. Although many open‐source SEM tools are now available—especially in the R programming environment—looking into their source code to understand the ...
Yves Rosseel, Marc Vidal
wiley +1 more source
Hybrid machine learning techniques for knowledge extraction in communication networks and advanced decision based complex q-Rung orthopair fuzzy frameworks. [PDF]
Zeng H, Zhang Y.
europepmc +1 more source
Reliability measures in knowledge structure theory
Abstract In knowledge structure theory (KST) framework, this study evaluates the reliability of knowledge state estimation by introducing two key measures: the expected accuracy rate and the expected discrepancy. The accuracy rate quantifies the likelihood that the estimated knowledge state aligns with the true state, while the expected discrepancy ...
Debora de Chiusole +3 more
wiley +1 more source
Advancement in real time football analysis using fuzzy based decision-making of the WASPAS method. [PDF]
Ma J.
europepmc +1 more source
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley +1 more source
Optimized intrusion detection for IoT networks using Cauchy-Gaussian hybrid evolutionary feature selection. [PDF]
Saranya T, Indra Priyadharshini S.
europepmc +1 more source
To vary or not to vary: A flexible empirical Bayes factor for testing variance components
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley +1 more source
The AGM of Gauss, Ramanujan's corresponding theory, and spectral bounds of self-adjoint operators. [PDF]
Faulhuber M, Gumber A, Shafkulovska I.
europepmc +1 more source

