Results 81 to 90 of about 137,800 (236)

Linear Matrix Inequality‐based design of distributed proportional‐integral‐derivative for the output consensus tracking in heterogeneous high‐order multi‐agent systems

open access: yesAsian Journal of Control, EarlyView.
Abstract This article addresses the cooperative output consensus tracking problem for high‐order heterogeneous multi‐agent systems via a distributed proportional‐integral‐derivative (PID)‐like control strategy and proposes two novel control methodologies for the tuning of the control gains, which do not require any assumption and/or limitation on agent
Dario Giuseppe Lui   +2 more
wiley   +1 more source

Modeling the Role of Big Data Analytics Capabilities in Impacting Corporate Environmental Performance: A Serial Mediation Analysis

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Big data analytical capabilities (BDAC) have emerged as a significant strategic tool for enhancing environmental performance in today's ever‐growing green and digital economy. However, the serial process through which BDAC influences environmental performance remains understudied, particularly in multinational corporations (MNCs).
Leul Girma Haylemariam   +2 more
wiley   +1 more source

Stretched non-negative matrix factorization

open access: yesnpj 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   +11 more
doaj   +1 more source

The Diagonalizable Nonnegative Inverse Eigenvalue Problem

open access: yesSpecial 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

Smoothed separable nonnegative matrix factorization

open access: yesLinear Algebra and its Applications, 2023
31 pages + 10 pages of supplementary. Many clarifications have been brought to the paper, and we have added numerical experiments on facial ...
Nicolas Nadisic   +2 more
openaire   +2 more sources

Efficient and model‐agnostic parameter estimation under privacy‐preserving post‐randomization data

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Balancing data privacy with public access is critical for sensitive datasets. However, even after de‐identification, the data are still vulnerable to, for example, inference attacks (by matching some keywords with external datasets). Statistical disclosure control (SDC) methods offer additional protection, and the post‐randomization method ...
Qinglong Tian, Jiwei Zhao
wiley   +1 more source

Restricted Tweedie stochastic block models

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley   +1 more source

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

open access: yesJournal 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   +1 more
doaj   +1 more source

SPN graphs: when copositive=SPN

open access: yes, 2016
A real symmetric matrix $A$ is copositive if $x^TAx\ge 0$ for every nonnegative vector $x$. A matrix is SPN if it is a sum of a real positive semidefinite matrix and a nonnegative one.
Shaked-Monderer, Naomi
core   +1 more source

Monotonous (semi-)nonnegative matrix factorization [PDF]

open access: yesProceedings of the Second ACM IKDD Conference on Data Sciences, 2015
Nonnegative matrix factorization (NMF) factorizes a non-negative matrix into product of two non-negative matrices, namely a signal matrix and a mixing matrix. NMF suffers from the scale and ordering ambiguities. Often, the source signals can be monotonous in nature.
Arun Ayyar, Nirav Bhatt
openaire   +4 more sources

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