Results 91 to 100 of about 11,730 (186)
Strategic Influencers and the Shaping of Beliefs
The RAND Journal of Economics, EarlyView.ABSTRACT Influencers, from propagandists to sellers, expend vast resources targeting agents who amplify their message through word‐of‐mouth communication. While agents differ in network position, they also differ in their bias: Agents may naturally read articles with a particular slant or buy products from a certain seller.
Akhil Vohra
wiley +1 more source
Emerging trends in soft set theory and related topics. [PDF]
ScientificWorldJournal, 2015 Feng F +3 more
europepmc +1 more source
Mathematics anxiety: Effects of age, gender and culture
British Journal of Educational Psychology, EarlyView.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
(Fuzzy) Ideals of BN-Algebras. [PDF]
ScientificWorldJournal, 2015 Dymek G, Walendziak A.
europepmc +1 more source
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
An Introduction to Predictive Processing Models of Perception and Decision‐Making
Topics in Cognitive Science, EarlyView., 2023 Abstract The predictive processing framework includes a broad set of ideas, which might be articulated and developed in a variety of ways, concerning how the brain may leverage predictive models when implementing perception, cognition, decision‐making, and motor control.
Mark Sprevak, Ryan Smith
wiley +1 more source
Survey‐Based Research for Creativity and Innovation Management: Review and Recommendations
Creativity and Innovation Management, EarlyView.ABSTRACT Survey methodology remains a widely used data collection method in creativity and innovation management studies. However, evolving technological advancements and methodological challenges necessitate a reassessment of best practices to benefit the most from it.
Marco Mismetti +2 more
wiley +1 more source
Register‐Efficient Linear‐Time Evaluation in the Bernstein Basis
Computer Graphics Forum, EarlyView.Abstract We investigate the evaluation of points and derivatives of Bézier curves and surfaces on modern architectures, focusing on performance and guided by numerical error bounds. While the de Casteljau algorithm remains the reference for numerical robustness, its linear working‐set size imposes substantial register pressure on GPUs.
Gábor Valasek, Anna Lili Horváth
wiley +1 more source
Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels
International Statistical Review, EarlyView.Summary Bayesian mixture modelling is widely used for density estimation and clustering. The Dirichlet process mixture model (DPMM) is the most popular Bayesian non‐parametric mixture modelling approach. In this manuscript, we study the choice of prior for the variance or precision matrix when Gaussian kernels are adopted.
Wei Jing +2 more
wiley +1 more source