Results 61 to 70 of about 456 (198)
Structural Concrete, EarlyView.Abstract Several test methods have been proposed in the literature for measuring the level of residual prestress, most of them involving either semi‐ or fully destructive techniques for local measurements which could be highly sensitive to boundary conditions and execution details.
Giuseppe Zarrella +2 more
wiley +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
CAAI Transactions on Intelligence Technology, EarlyView.Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Cognitive diagnosis aims to infer learners' knowledge states from their exercise responses, enabling personalised education at scale. Existing methods represent exercises solely by coarse‐grained knowledge component annotations, overlooking semantic content and step‐level cognitive processes.
Youheng Bai +4 more
wiley +1 more source
Principles of operator algebras [PDF]
This is an introduction to the algebras $A\subset B(H)$ that the linear operators $T:H\to H$ can form, once a complex Hilbert space $H$ is given. Motivated by quantum mechanics, we are mainly interested in the von Neumann algebras, which are stable under
Banica, Teo
core +2 more sources
Lost in Aggregation: Quantifying Measurement Error from Geographic Centroids
Economic Record, EarlyView.Due to privacy laws and regulations, microdata typically provide regional identifiers rather than exact coordinates. Researchers therefore often construct spatial variables from these aggregations, but the statistical implications depend on the research setting.
Ali Furkan Kalay, Henry Wen
wiley +1 more source
Welcome to the jangle (fallacy): The case of statistics and mathematics anxieties
British Journal of Educational Psychology, EarlyView.Abstract Background Statistics‐related anxiety is a common barrier to learning in higher education, particularly for psychology and other non‐specialist students. High prevalence rates are concerning because statistical literacy is integral to academic success, employability and informed citizenship.
Jenny Terry, Charlie Lea, Andy P. Field
wiley +1 more source
A post-group theoretic perspective on the operator-valued S-transform in free probability [PDF]
We investigate the algebraic structure underlying Voiculescu's S-transform in the setting of operator-valued free probability. We show that its twisted factorisation property gives rise to post-groups, crossed morphisms, as well as pre- and post-Lie ...
Ringeard, Timothé +1 more
core
An extension of the basic local independence model to multiple observed classifications
British Journal of Mathematical and Statistical Psychology, EarlyView.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
British Journal of Mathematical and Statistical Psychology, EarlyView.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
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Standardized mean differences (SMDs) are widely used to quantify treatment effects in cluster‐randomized trials. However, covariate adjustment in hierarchical linear models reduces the residual variance components used for standardization, which artificially inflates effect size estimates and undermines comparability across studies. We propose
Juyoung Jung +2 more
wiley +1 more source