Cargando…
An Improved Parameter-Estimating Method in Bayesian Networks Applied for Cognitive Diagnosis Assessment
Bayesian networks (BNs) can be employed to cognitive diagnostic assessment (CDA). Most of the existing researches on the BNs for CDA utilized the MCMC algorithm to estimate parameters of BNs. When EM algorithm and gradient descending (GD) learning method are adopted to estimate the parameters of BNs...
Autores principales: | Wang, Ling Ling, Xin, Tao, Yanlou, Liu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180600/ https://www.ncbi.nlm.nih.gov/pubmed/34108921 http://dx.doi.org/10.3389/fpsyg.2021.665441 |
Ejemplares similares
-
Editorial: Cognitive Diagnostic Models: Methods for Practical Applications
por: Xin, Tao, et al.
Publicado: (2022) -
A Comparison of Differential Item Functioning Detection Methods in Cognitive Diagnostic Models
por: Liu, Yanlou, et al.
Publicado: (2019) -
Applying the M(2) Statistic to Evaluate the Fit of Diagnostic Classification Models in the Presence of Attribute Hierarchies
por: Chen, Fu, et al.
Publicado: (2018) -
The Impact of Item Calibration Error on Variable-Length Cognitive Diagnostic Computerized Adaptive Testing
por: Sun, Xiaojian, et al.
Publicado: (2020) -
Assessing the Impact of Precision Parameter Prior in Bayesian Non-parametric Growth Curve Modeling
por: Tong, Xin, et al.
Publicado: (2021)