Results 1 to 10 of about 54,814 (211)

Deep NMF topic modeling

open access: yesNeurocomputing, 2023
Nonnegative matrix factorization (NMF) based topic modeling methods do not rely on model- or data-assumptions much. However, they are usually formulated as difficult optimization problems, which may suffer from bad local minima and high computational complexity.
Wang, JianYu, Zhang, Xiao-Lei
openaire   +3 more sources

MSDA-NMF: A Multilayer Complex System Model Integrating Deep Autoencoder and NMF

open access: yesMathematics, 2022
In essence, the network is a way of encoding the information of the underlying social management system. Ubiquitous social management systems rarely exist alone and have dynamic complexity.
Xiaoming Li   +3 more
doaj   +2 more sources

NMF-NAD:detecting network-wide traffic anomaly based on NMF

open access: yesTongxin xuebao, 2012
A non-negative matrix factorization (NMF) based network wide traffic anomalies detection (NMF-NAD) method was proposed.NMF-NAD firstly reconstructed the traffic matrix in the non-negative sub-space,and then detected the anomalies through Shewhart control
Xiang-lin WEI   +3 more
doaj   +3 more sources

Another Robust NMF: Rethinking the Hyperbolic Tangent Function and Locality Constraint

open access: yesIEEE Access, 2019
Non-negative matrix factorization (NMF) is a classical data analysis tool for clustering tasks. It usually considers the squared loss to measure the reconstruction error, thus it is sensitive to the presence of outliers. Looking into the literature, most
Xingyu Shen   +4 more
doaj   +2 more sources

A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts

open access: yesFrontiers in Sociology, 2022
The richness of social media data has opened a new avenue for social science research to gain insights into human behaviors and experiences. In particular, emerging data-driven approaches relying on topic models provide entirely new perspectives on ...
R. Egger, Joanne Yu
semanticscholar   +1 more source

Klevfos Cellulose- & PapirfabrikHjørnesteinsbedriften som ble til et industrimuseum

open access: yesNorsk Museumstidsskrift, 2022
Klevfos Industrimuseum er i dag en del av Anno museum og viser industrimiljøet ved den tidligere fabrikken Klevfos Cellulose- & Papirfabrik AS. Fabrikken og produksjonsutstyret står i dag i hovedsak slik det gjorde ved nedleggelsen i 1976. Med bakgrunn i
Ida Kristine Teien
doaj   +1 more source

UNSUPERVISED DYNAMIC TOPIC MODEL FOR EXTRACTING ADVERSE DRUG REACTION FROM HEALTH FORUMS [PDF]

open access: yesApplied Computer Science, 2020
The relationship between drug and its side effects has been outlined in two websites: Sider and WebMD. The aim of this study was to find the association between drug and its side effects.
Behnaz ESLAMI   +4 more
doaj   +1 more source

Design of tubular high‐temperature proton exchange membrane fuel cells (HT‐PEM‐FCs): Development, challenges, and perspectives

open access: yesElectrochemical Science Advances, 2023
Fuel cells (FCs) have gained a prominent position in recent years within the scientific community and the energy market as an alternative to mitigate the inherent problems in the energy production based on fossil fuels such as the constant reduction of ...
María Catalina Bermúdez Agudelo   +1 more
doaj   +1 more source

Sampled and discretized of short-time Fourier transform and non-negative matrix factorization: the single-channel source separation case

open access: yesJurnal Teknologi dan Sistem Komputer, 2021
The Short-time Fourier transform (STFT) is a popular time-frequency representation in many source separation problems. In this work, the sampled and discretized version of Discrete Gabor Transform (DGT) is proposed to replace STFT within the single ...
Jans Hendry   +2 more
doaj   +1 more source

NMF Clustering: Accessible NMF-based Clustering Utilizing GPU Acceleration

open access: yesJournal of Bioinformatics and Systems Biology, 2023
AbstractSummaryNon-negative Matrix Factorization (NMF) is an algorithm that can reduce high dimensional datasets of tens of thousands of genes to a handful of metagenes which are biologically easier to interpret. Application of NMF on gene expression data has been limited by its computationally intensive nature, which hinders its use on large datasets ...
Liefeld, Ted   +7 more
openaire   +4 more sources

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