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pro vyhledávání: '"nmf"'
Topic Modeling Analysis of Aviation Accident Reports: A Comparative Study between LDA and NMF Models
Aviation safety is paramount in the modern world, with a continuous commitment to reducing accidents and improving safety standards. Central to this endeavor is the analysis of aviation accident reports, rich textual resources that hold insights into
Externí odkaz:
http://arxiv.org/abs/2403.04788
This study investigates air pollution in central Taiwan, focusing on key pollutants, including SO$_2$, NO$_2$, PM$_{10}$, and PM$_{2.5}$. We use non-negative matrix factorization (NMF) to reduce data dimensionality, followed by wind direction analysi
Externí odkaz:
http://arxiv.org/abs/2411.13315
Does the People's Republic of China (PRC) interfere with European elections through ethnic Chinese diaspora media? This question forms the basis of an ongoing research project exploring how PRC narratives about European elections are represented in C
Externí odkaz:
http://arxiv.org/abs/2410.12791
Autor:
Guo, Youdong, Holy, Timothy E.
Non-negative matrix factorization (NMF) is an important tool in signal processing and widely used to separate mixed sources into their components. However, NMF is NP-hard and thus may fail to discover the ideal factorization; moreover, the number of
Externí odkaz:
http://arxiv.org/abs/2408.08260
Autor:
Wanna, Selma, Barron, Ryan, Solovyev, Nick, Eren, Maksim E., Bhattarai, Manish, Rasmussen, Kim, Alexandrov, Boian S.
Topic modeling is a technique for organizing and extracting themes from large collections of unstructured text. Non-negative matrix factorization (NMF) is a common unsupervised approach that decomposes a term frequency-inverse document frequency (TF-
Externí odkaz:
http://arxiv.org/abs/2407.19616
This study develops a robust movie recommendation system using various machine learning techniques, including Non- Negative Matrix Factorization (NMF), Truncated Singular Value Decomposition (SVD), and K-Means clustering. The primary objective is to
Externí odkaz:
http://arxiv.org/abs/2407.08916
Publikováno v:
EAI Endorsed Transactions on Internet of Things. 2023, Vol. 9 Issue 1, p1-9. 9p.
Autor:
Zou, Yongqiang1 (AUTHOR), Zhang, Guanghui1 (AUTHOR) ghzhang@kust.edu.cn, Fan, Yugang1 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Sep2024, Vol. 12 Issue 17, p2782. 18p.
Autor:
Esposito, Flavia, Ang, Andersen
Nonnegative Matrix Factorization (NMF) is the problem of approximating a given nonnegative matrix M through the conic combination of two nonnegative low-rank matrices W and H. Traditionally NMF is tackled by optimizing a specific objective function e
Externí odkaz:
http://arxiv.org/abs/2405.12823
Autor:
Teurtrie, Adrien, Perraudin, Nathanaël, Holvoet, Thomas, Chen, Hui, Alexander, Duncan T. L., Obozinski, Guillaume, Hébert, Cécile
We present the development of a new algorithm which combines state-of-the-art energy-dispersive X-ray (EDX) spectroscopy theory and a suitable machine learning formulation for the hyperspectral unmixing of scanning transmission electron microscope ED
Externí odkaz:
http://arxiv.org/abs/2404.17496