Results 81 to 90 of about 196,468 (204)
Journal of Spectroscopy, 2019 In order to perform highly qualified neutron-gamma discrimination in mixed radiation field, we investigate the application of blind source separation methods based on nonnegative matrix and tensor factorization algorithms as new and robust neutron-gamma ...
Hanane Arahmane +2 more
doaj +1 more source
Cyber(in)security and Interoperability in Digital Services
The Journal of Industrial Economics, EarlyView.ABSTRACT This paper investigates the interplay between interoperability and the incentives to invest in cybersecurity in digital markets. We develop a two‐sided symmetric duopoly model in which cyberattacks create a congestion‐like externality, and interoperability amplifies hackers' incentives to target connected platforms.
Stefano Comino +2 more
wiley +1 more source
A new S-type eigenvalue inclusion set for tensors and its applications
Journal of Inequalities and Applications, 2016 In this paper, a new S-type eigenvalue localization set for a tensor is derived by dividing N = { 1 , 2 , … , n } $N=\{1,2,\ldots,n\}$ into disjoint subsets S and its complement.
Zheng-Ge Huang +3 more
doaj +1 more source
Journal of Time Series Analysis, EarlyView.ABSTRACT Traditional graph representations are insufficient for modelling real‐world phenomena involving multi‐entity interactions, such as collaborative projects or protein complexes, necessitating the use of hypergraphs. While hypergraphs preserve the intrinsic nature of such complex relationships, existing models often overlook temporal evolution in
Xianghe Zhu, Qiwei Yao
wiley +1 more source
Learning Nonnegative Factors From Tensor Data: Probabilistic Modeling and Inference Algorithm [PDF]
, 2020 Tensor canonical polyadic decomposition (CPD) with nonnegative factor matrices, which extracts useful latent information from multidimensional data, has found wide-spread applications in various big data analytic tasks.
Cheng, L +4 more
core +1 more source
Complexity, 2020 M-eigenvalues of fourth-order partially symmetric tensors play important roles in the nonlinear elastic material analysis and the entanglement problem of quantum physics.
Gang Wang, Linxuan Sun, Lixia Liu
doaj +1 more source
Identification and Estimation of Multi‐order Tensor Factor Models
Journal of Time Series Analysis, EarlyView.ABSTRACT We propose a novel framework in high‐dimensional factor models to simultaneously analyze multiple tensor time series, each with potentially different tensor orders and dimensionality. The connection between different tensor time series is through their global factors that are correlated with each other.
Zetai Cen
wiley +1 more source
Using underapproximations for sparse nonnegative matrix factorization [PDF]
Nonnegative Matrix Factorization (NMF) has gathered a lot of attention in the last decade and has been successfully applied in numerous applications.
GILLIS, Nicolas, GLINEUR, François
core
Measure‐valued processes for energy markets
Mathematical Finance, Volume 35, Issue 2, Page 520-566, April 2025.Abstract We introduce a framework that allows to employ (non‐negative) measure‐valued processes for energy market modeling, in particular for electricity and gas futures. Interpreting the process' spatial structure as time to maturity, we show how the Heath–Jarrow–Morton approach can be translated to this framework, thus guaranteeing arbitrage free ...
Christa Cuchiero +3 more
wiley +1 more source
Nonnegative factorization and the maximum edge biclique problem [PDF]
Nonnegative matrix factorization (NMF) is a data analysis technique based on the approximation of a nonnegative matrix with a product of two nonnegative factors, which allows compression and interpretation of nonnegative data. In this paper, we study the
GILLIS, Nicolas, GLINEUR, François
core