Results 71 to 80 of about 1,994 (184)

The Story(line) So Far: A Survey on Storyline Visualization

Computer Graphics Forum, EarlyView.
Abstract Storyline visualizations model narratives as temporal networks, using x‐monotone lines to represent entities and their interactions over time. This technique offers an intuitive way to reveal structural patterns over time, such as character co‐occurrence and narrative flow.
S. Di Bartolomeo, A. Dobler, V. Filipov, M. Nöllenburg, H. Ehlers   +4 more
wiley   +1 more source

Proximal Alternating Direction Method with Relaxed Proximal Parameters for the Least Squares Covariance Adjustment Problem

Abstract and Applied Analysis, 2014
We consider the problem of seeking a symmetric positive semidefinite matrix in a closed convex set to approximate a given matrix. This problem may arise in several areas of numerical linear algebra or come from finance industry or statistics and thus has
Minghua Xu, Yong Zhang, Qinglong Huang, Zhenhua Yang   +3 more
doaj   +1 more source

Positive semidefinite matrix completion, universal rigidity and the Strong Arnold Property

Linear Algebra and its Applications, 2014
This paper addresses the following three topics: positive semidefinite (psd) matrix completions, universal rigidity of frameworks, and the Strong Arnold Property (SAP). We show some strong connections among these topics, using semidefinite programming as unifying theme.
M. Laurent (Monique), A. Varvitsiotis (Antonios)   +1 more
openaire   +4 more sources

Sparse Minimum Redundancy Maximum Relevance for Feature Selection

Scandinavian Journal of Statistics, EarlyView.
ABSTRACT We propose a feature screening method that integrates both feature–feature and feature–target relationships. Inactive features are identified via a penalized minimum Redundancy Maximum Relevance (mRMR) procedure, which is the continuous version of the classical mRMR penalized by a non‐convex regularizer, and where the parameters estimated as ...
Peter Naylor, Benjamin Poignard, Héctor Climente‐González, Makoto Yamada   +3 more
wiley   +1 more source

A new approach for handling missing correlation values for meta‐analytic structural equation modeling: Corboundary R package

Campbell Systematic Reviews, 2020
With increased use of multivariate meta‐analysis in numerous disciplines, where structural relationships among multiple variables are examined, researchers often encounter a particular challenge due to missing information.
Soyeon Ahn, John M. Abbamonte
doaj   +1 more source

Frequency‐dependent contraction rates for the Bayesian method to the inverse source problem

Transactions of the London Mathematical Society, Volume 13, Issue 1, December 2026.
Abstract This paper addresses an inverse source problem for acoustic waves in a range of frequencies. Our study has two main goals. First, although the problem is severely ill‐posed with a logarithmic stability estimate, we demonstrate, through careful analysis of the forward map's singular values, that increasing the frequency range enhances stability,
Pu‐Zhao Kow, Jenn‐Nan Wang
wiley   +1 more source

Advanced p-numerical radius bounds through partitioned matrix methodologies

Results in Applied Mathematics
The present investigation develops novel upper limits for the p-numerical radius of linear transformations through sophisticated partitioned matrix methodologies.
Raja’a Al-Naimi
doaj   +1 more source

A new generalization of two refined Young inequalities and applications

Moroccan Journal of Pure and Applied Analysis, 2020
In this paper, we prove that if a, b > 0 and 0 ≤ α ≤ 1, then for m = 1, 2, 3, . . . ,
Ighachane M. A., Akkouchi M.
doaj   +1 more source

Computing a nearest symmetric positive semidefinite matrix

Linear Algebra and its Applications, 1988
The problem of computing a nearest positive semidefinite matrix (notation used \(X\geq 0)\) to an arbitrary real matrix A is considered. The criterion of approximation is the distance \(\delta (A)=\min_{X=X^ T\geq 0}\| A-X\|\) where the norm is chosen to be either Frobenius or 2-norm. The paper consists of two parts. In the first part the author proves
openaire   +3 more sources

Bayesian Implementation of the Factor‐Analytic Mixed Model and Application to Embeddings

Stat, Volume 15, Issue 3, September 2026.
ABSTRACT Mixed models and neural networks each offer complementary frameworks for prediction. Theoretically grounded in inference, mixed models can unveil latent variance structure notably with the factor‐analytic approach. In this article, we propose to bridge the gap between the two frameworks, leveraging embedding data from a neural network encoder ...
Alexandre Marchal, Maxence Lamure, Tanguy Lefort, Frank Imbach   +3 more
wiley   +1 more source