Results 111 to 120 of about 5,397,311 (205)
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
BRIEF VON REBECKA LEJEUNE DIRICHLET, ERNST GUSTAV PAUL DIRICHLET UND PETER GUSTAV LEJEUNE DIRICHLET AN ANNA ELISABETH LEJEUNE DIRICHLET Brief von Rebecka Lejeune Dirichlet, Ernst Gustav Paul Dirichlet und Peter Gustav Lejeune Dirichlet an Anna Elisabeth
Lejeune Dirichlet, Rebecka +3 more
core +1 more source
LLM‐based prior elicitation for Bayesian graphical modeling
ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski +2 more
wiley +1 more source
Abstract Cognitive diagnostic models (CDMs) have become essential tools for providing fine‐grained information about individuals' mastery of cognitive skills. While prior reviews have emphasized statistical foundations and deep learning‐based developments, this article focuses on recent methodological innovations designed to address persistent ...
Chun Wang, Yale Quan, David Arthur
wiley +1 more source
Generalized Dirichlet distributions have a more flexible covariance structure than Dirichlet distributions, and the computation for the moments of a generalized Dirichlet distribution is still tractable. For situations under which Dirichlet distributions
Wong, Tzu-Tsung
core
Hierarchical Differentiable Fluid Simulation
We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong +4 more
wiley +1 more source
Fast Injective Mesh Parameterization via Beltrami Coefficient Prolongation
Abstract We present a highly efficient and robust method for free boundary injective parameterization of disk‐like triangle meshes with low isometric distortion. Harmonic function–based approaches, grounded in a strong mathematical framework, are widely employed.
G. Fargion, O. Weber
wiley +1 more source
Skeletal‐Driven Animation of Anatomical Humans via Neural Deformation Gradients
Abstract Most real‐time animation techniques for digital humans are limited to deforming the outer skin surface. Geometric skinning methods are highly efficient but struggle with artifacts such as collapsing joints or self‐intersections when animating inner anatomy along with the outer skin.
G. Nolte +3 more
wiley +1 more source
Brief von Rebecka Lejeune Dirichlet und Flora Lejeune Dirichlet an Walter Arnold Abraham Dirichlet
BRIEF VON REBECKA LEJEUNE DIRICHLET UND FLORA LEJEUNE DIRICHLET AN WALTER ARNOLD ABRAHAM DIRICHLET Brief von Rebecka Lejeune Dirichlet und Flora Lejeune Dirichlet an Walter Arnold Abraham Dirichlet ( -
Dirichlet, Walter Arnold Abraham +2 more
core +2 more sources
Terrain Synthesis and Authoring based on Iso‐Contours
Abstract Digital terrains are central to realistic landscape depiction, yet authoring tools must balance perceptual realism with intuitive artistic control. We propose a compact vector‐based representation that models terrain as nested iso‐contours, inspired by geomorphology and cartography.
B. Huftier +5 more
wiley +1 more source

