Results 71 to 80 of about 1,698,574 (297)

The Diagonalizable Nonnegative Inverse Eigenvalue Problem

Special Matrices, 2018
In this articlewe provide some lists of real numberswhich can be realized as the spectra of nonnegative diagonalizable matrices but which are not the spectra of nonnegative symmetric matrices.
Cronin Anthony G, Laffey Thomas J.
doaj   +1 more source

On the Probabilistic Latent Semantic Analysis Generalization as the Singular Value Decomposition Probabilistic Image

Journal of Statistical Theory and Applications (JSTA), 2020
The Probabilistic Latent Semantic Analysis has been related with the Singular Value Decomposition. Several problems occur when this comparative is done.
Pau Figuera Vinué, Pablo García Bringas   +1 more
doaj   +1 more source

Plasma Proteomics Identifies Molecular Signatures and Biomarkers Associated With High Structural Damage in Ankylosing Spondylitis

Arthritis &Rheumatology, EarlyView.
Objective Pathologic bone formation in ankylosing spondylitis (AS) is not fully reflected by systemic inflammation, limiting the utility of markers of inflammation for structural damage assessment. This study aimed to identify plasma protein signatures associated with structural damage severity in AS.
Tiantian Sun, Wanlin Liu, Kun Yang, Xiaohan Xu, Yu Wang, Xinning Qu, Yifan Gong, Wenya Zhang, Jie Ma, Hongxiao Liu   +9 more
wiley   +1 more source

Stretched non-negative matrix factorization

npj Computational Materials
A novel algorithm, stretchedNMF, is introduced for non-negative matrix factorization (NMF), accounting for signal stretching along the independent variable’s axis.
Ran Gu, Yevgeny Rakita, Ling Lan, Zach Thatcher, Gabrielle E. Kamm, Daniel O’Nolan, Brennan Mcbride, Allison Wustrow, James R. Neilson, Karena W. Chapman, Qiang Du, Simon J. L. Billinge   +11 more
doaj   +1 more source

Fairer non-negative matrix factorization

Frontiers in Big Data
There has been a recent critical need to study fairness and bias in machine learning (ML) algorithms. Since there is clearly no one-size-fits-all solution to fairness, ML methods should be developed alongside bias mitigation strategies that are practical
Lara Kassab, Erin George, Deanna Needell, Haowen Geng, Nika Jafar Nia, Aoxi Li   +5 more
doaj   +1 more source

Spectra universally realizable by doubly stochastic matrices

Special Matrices, 2018
A list of complex numbers Λ = { λ1, . . . , λn} is said to be realizable if it is the spectrum of an entrywise nonnegative matrix, and universally realizable if there exists a nonnegative matrix with spectrum Λ for each Jordan canonical form associated ...
Collao Macarena, Salas Mario, Soto Ricardo L.   +2 more
doaj   +1 more source

Bounds for the spectral radius of nonnegative matrices and generalized Fibonacci matrices

Special Matrices, 2022
In this article, we determine upper and lower bounds for the spectral radius of nonnegative matrices. Introducing the notion of average 4-row sum of a nonnegative matrix, we extend various existing formulas for spectral radius bounds.
Adam Maria, Aretaki Aikaterini
doaj   +1 more source

Controllability and Observability Conditions for Impulsive DAEs on Time Scales

Asian Journal of Control, EarlyView.
ABSTRACT This paper establishes criteria for controllability and observability in a class of linear time‐invariant impulsive differential‐algebraic equations (DAEs) defined on a time scale. Controllability is defined as the ability to transfer the system state from any initial condition to any desired state within a finite time interval using an ...
Awais Younus, Zoubia Dastgeer, Thabet Abdeljawad, Meriem Louafi   +3 more
wiley   +1 more source

Online kernel nonnegative matrix factorization [PDF]

Signal Processing, 2017
Nonnegative matrix factorization (NMF) has become a prominent signal processing and data analysis technique. To address streaming data, online methods for NMF have been introduced recently, mainly restricted to the linear model. In this paper, we propose a framework for online nonlinear NMF, where the factorization is conducted in a kernel-induced ...
Zhu, Fei, Honeine, Paul
openaire   +4 more sources

GlycoMAC: A Multiscale Metabolic‐Glycosylation Framework for Predicting Glycosylation Across Conditions in Mammalian Cell Cultures

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Antibody productivity and glycosylation quality in CHO cell cultures emerge from a dynamically evolving metabolic environment, yet existing models often work in isolation or at a single scale. Here, we present a multiscale mechanistic framework linking molecular, cellular, and macroscopic scales to predict how inputs shape bioprocess ...
Yuming Zeng, Sarah W. Harcum, Jinxiang Pei, Wei Xie   +3 more
wiley   +1 more source