Results 131 to 140 of about 32,516 (266)
A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields [PDF]
Andrew Zammit‐Mangion, J Rougier
openalex +1 more source
Mathematics anxiety: Effects of age, gender and culture
Abstract Background Many studies have indicated that mathematics anxiety is a significant problem for many people and is an important topic for research. Mathematics anxiety is multidimensional. In particular, it is important to distinguish between worry and emotionality components, and between trait and state anxiety.
Ann Dowker
wiley +1 more source
A novel color images security-based on SPN over the residue classes of quaternion integers [Formula: see text]. [PDF]
Sajjad M, Alqwaifly NA.
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
Randomized Linear Algebra Approaches to Estimate the Von Neumann Entropy\n of Density Matrices [PDF]
Eugenia-Maria Kontopoulou +4 more
openalex +2 more sources
Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equation. [PDF]
Jonnalagadda B, Becker S.
europepmc +1 more source
Abstract Reliability evaluation is critical in fields such as psychology and medicine to ensure accurate diagnosis and effective treatment management. When participants are evaluated by the same raters, a two‐way ANOVA model is suitable to model the data, with the intraclass correlation coefficient (ICC) serving as the reliability metric.
Dipro Mondal +3 more
wiley +1 more source
COVARIANCE LOSS, SZEMEREDI REGULARITY, AND DIFFERENTIAL PRIVACY. [PDF]
Boedihardjo M, Strohmer T, Vershynin 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
A simple, randomized algorithm for diagonalizing normal matrices. [PDF]
He H, Kressner D.
europepmc +1 more source

