Results 181 to 190 of about 17,735 (266)
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
High cognitive violation of expectations is compromised in cerebellar ataxia. [PDF]
Daniel L, Vakil E, Saban W.
europepmc +1 more source
An extension of the basic local independence model to multiple observed classifications
Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi +8 more
wiley +1 more source
Optimized quantum folding Barrett reduction for quantum modular multipliers. [PDF]
Zhang J, Cho SM, Lee C, Seo SH.
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
The notion of the numeral base in linguistics. [PDF]
Barlow R.
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
Advances of Emerging Memristors for In-Memory Computing Applications. [PDF]
Chen Q, Lu L, Meng J, Xu M, Wang T.
europepmc +1 more source
Splatshop: Efficiently Editing Large Gaussian Splat Models
Abstract We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, …) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact and fast rendering to enable precise editing without sacrificing real‐time performance. Our
Markus Schütz +5 more
wiley +1 more source
Speed up integer-arithmetic-only inference via bit-shifting. [PDF]
Song M +5 more
europepmc +1 more source

