Suchergebnisse - matrix factorization algorithm modeling

Optimal Number of Topics in Topic Modeling Using Deep Auto Encoder Graph Regularized Non-Negative Matrix Factorization Algorithm.

Autoren: Kherwa, Pooja Arora, Jyoti

Quelle: Journal of Systems Science & Systems Engineering; Jun2025, Vol. 34 Issue 3, p257-283, 27p

High performance computing and artificial intelligence algorithms for dimensionality reduction of turbulent flows

Autoren: Eiximeno Franch, Benet

Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Departament de Física

Thesis Advisors: Rodríguez Pérez, Ivette María, Lehmkuhl Barba, Oriol

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: reduced order models, high performance computing, deep learning, singular value decomposition, variational autoencoders, Àrees temàtiques de la UPC::Física, Àrees temàtiques de la UPC::Informàtica, 531/534 - Mecànica. Vibracions. Acústica, 004 - Informàtica

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/695826
https://dx.doi.org/10.5821/dissertation-2117-446576

Subspace-Constrained Quadratic Matrix Factorization: Algorithm and Applications

Autoren: Zhai, Zheng Li, Xiaohui

Index Begriffe: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2411.04717

Subspace-constrained quadratic matrix factorization: Algorithm and applications.

Autoren: Zhai, Zheng Li, Xiaohui

Quelle: Pattern Recognition. May2025, Vol. 161, pN.PAG-N.PAG. 1p.

Schlagwörter: *MATRIX decomposition, *PRINCIPAL components analysis, *NONLINEAR regression, *DATA modeling, *FACTORIZATION, *QUADRATIC forms

Quantifying secondary organic aerosols and O3 formation drivers in North China: Comprehensive method combining random forest, positive matrix factorization, and observation-based model.

Autoren: Huang, Qi Li, Tianshuai Zhang, Tao et al.

Quelle: Journal of Environmental Sciences (Elsevier). Feb2026, Vol. 160, p1-12. 12p.

Schlagwörter: AUTOMOBILE emissions, TEMPERATURE, RANDOM forest algorithms, MATRIX decomposition, ATMOSPHERIC ozone, VOLATILE organic compounds, ATMOSPHERIC aerosols

Geografische Kategorien: NORTH China Plain (China), SHANDONG Sheng (China)

An exploratory Q-matrix estimation method based on sparse non-negative matrix factorization.

Autoren: Xiong J Luo Z Luo G et al.

Quelle: Behavior research methods [Behav Res Methods] 2024 Oct; Vol. 56 (7), pp. 7647-7673. Date of Electronic Publication: 2024 Jul 26.

Publikationsart: Journal Article; Research Support, Non-U.S. Gov't

Info zur Zeitschrift: Publisher: Springer Country of Publication: United States NLM ID: 101244316 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1554-3528 (Electronic) Linking ISSN: 1554351X NLM ISO Abbreviation: Behav Res Methods Subsets: MEDLINE

MeSH-Schlagworte: Models, Statistical*, Humans ; Data Interpretation, Statistical ; Computer Simulation ; Algorithms ; Factor Analysis, Statistical ; Cognition/physiology

Cloud Platform Business Scenario Modeling Based on Multi-Model Fusion Recommendation Algorithm.

Autoren: Li, Hui Zhang, Guanyu Liu, Haibin et al.

Quelle: International Journal of High Speed Electronics & Systems. May2025, Vol. 34 Issue 1, p1-23. 23p.

Schlagwörter: *RECOMMENDER systems, *RESOURCE allocation, MATRIX decomposition, USER experience, SATISFACTION

Optimal Number of Topics in Topic Modeling Using Deep Auto Encoder Graph Regularized Non-Negative Matrix Factorization Algorithm

Autoren: Kherwa, Pooja Arora, Jyoti

Quelle: Journal of Systems Science and Systems Engineering ; volume 34, issue 3, page 257-283 ; ISSN 1004-3756 1861-9576

Verfügbarkeit: https://doi.org/10.1007/s11518-024-5639-3
https://link.springer.com/content/pdf/10.1007/s11518-024-5639-3.pdf
https://link.springer.com/article/10.1007/s11518-024-5639-3/fulltext.html

A Modified Huber Nonnegative Matrix Factorization Algorithm for Hyperspectral Unmixing

Autoren: Ziyang Guo Anyou Min Bing Yang et al.

Quelle: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 5559-5571 (2021)

Schlagwörter: Modified Huber (mHuber), nonnegative matrix factorization (NMF), projected conjugated gradient, tuning parameter, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/9435989/; https://doaj.org/toc/2151-1535

Zugangs-URL: https://doaj.org/article/1bc9baf8aec24dcc8421abea08ab7989

Maize Hybrids Performance Evaluation with Data Fusion by Matrix Factorization Algorithm.

Autoren: Brkić, Milica Hačko, Stefan Radovanović, Miloš et al.

Quelle: Applied Artificial Intelligence; 2024, Vol. 38 Issue 1, p1-20, 20p

Schlagwörter: MATRIX decomposition, SELECTION (Plant breeding), MULTISENSOR data fusion, CROP yields, RANDOM forest algorithms

A Novel Singing Voice Separation Method Based on Sparse Non-Negative Matrix Factorization and Low-Rank Modeling

Autoren: S. Mavaddati

Quelle: Iranian Journal of Electrical and Electronic Engineering, Vol 15, Iss 2, Pp 161-171 (2019)

Schlagwörter: Singing Voice Separation, Dictionary Learning, Incoherence, Sparse Coding, Voice Activity Detector., Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: http://ijeee.iust.ac.ir/browse.php?a_code=A-10-2517-1&slc_lang=en&sid=1; https://doaj.org/toc/1735-2827; https://doaj.org/toc/2383-3890

Zugangs-URL: https://doaj.org/article/7bb13e894aa5463faf1af08330d208c5

Privacy-Preserving Non-Negative Matrix Factorization with Outliers.

Autoren: Saha, Swapnil Imtiaz, Hafiz

Quelle: ACM Transactions on Knowledge Discovery from Data; Apr2024, Vol. 18 Issue 3, p1-26, 26p

Schlagwörter: MATRIX decomposition, NONNEGATIVE matrices, MACHINE learning, PRIVACY

Towards an Accurate Performance Modeling of Parallel SparseFactorization

Weitere Verfasser: Li, Xiaoye

Quelle: Applicable Algebra in Engineering, Communication, andComputing; 18; 3; Other Information: Journal Publication Date: 05/2007

Dateibeschreibung: Medium: ED

Zugangs-URL: http://www.osti.gov/scitech/servlets/purl/923277

Topic Modeling on System Thinking Themes Using Latent Dirichlet Allocation, Non-Negative Matrix Factorization and BER Topic.

Autoren: Bagheri, Rouhollah Entezarian, Nahid Sharifi, Mohammad Hossein

Quelle: Journal of Systems Thinking in Practice (JSTINP). Dec2023, Vol. 2 Issue 4, p33-56. 24p.

Schlagwörter: *PROBLEM solving, *SYSTEMS theory, *ORGANIZATIONAL performance, NONNEGATIVE matrices, SOCIAL sciences, ENGINEERING education, MATRIX decomposition, BIBLIOMETRICS, SUSTAINABILITY, SYSTEM dynamics

Nonnegative matrix factorization for analyzing state dependent neuronal network dynamics in calcium recordings.

Autoren: Carbonero D Noueihed J Kramer MA et al.

Quelle: Scientific reports [Sci Rep] 2024 Nov 13; Vol. 14 (1), pp. 27899. Date of Electronic Publication: 2024 Nov 13.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH-Schlagworte: Calcium*/metabolism , Neurons*/physiology , Neurons*/metabolism, Animals ; Nerve Net/physiology ; Algorithms ; Mice ; Calcium Signaling

A Novel Singing Voice Separation Method Based on Sparse Non-Negative Matrix Factorization and Low-Rank Modeling.

Autoren: Mavaddati, S.

Quelle: Iranian Journal of Electrical & Electronic Engineering; Jun2019, Vol. 15 Issue 2, p161-171, 11p

Schlagwörter: AUTOMATIC speech recognition, SIGNAL processing, SINGERS, NONNEGATIVE matrices, ALGORITHMS

Attribute interaction aware matrix factorization method for recommendation.

Autoren: Wan, Yongquan Zhu, Lihua Yan, Cairong et al.

Quelle: Intelligent Data Analysis. 2021, Vol. 25 Issue 5, p1115-1130. 16p.

Schlagwörter: *ALGORITHMS, *PARALLEL programming, *RECOMMENDER systems, MATRIX decomposition, INFORMATION modeling

Research on e‐commerce recommendation system based on matrix factorization algorithm.

Autoren: Wang, Zhi Qin, Yongfei Shi, Yan et al.

Quelle: Concurrency & Computation: Practice & Experience; 10/10/2023, Vol. 35 Issue 22, p1-9, 9p

Schlagwörter: RECOMMENDER systems, MATRIX decomposition, FACTORIZATION, ELECTRONIC commerce, CONSUMER preferences, ONLINE shopping

Efficient Low-Rank Matrix Factorization Based on ℓ 1,ε -Norm for Online Background Subtraction.

Autoren: Liu, Qi Li, Xiaopeng

Quelle: IEEE Transactions on Circuits & Systems for Video Technology. Jul2022, Vol. 32 Issue 7, p4900-4904. 5p.

Schlagwörter: MATRIX decomposition, LOW-rank matrices, IMAGE reconstruction algorithms, PRINCIPAL components analysis, SPARSE matrices

An improved context-aware weighted matrix factorization algorithm for point of interest recommendation in LBSN.

Autoren: Zhou, Xu Wang, Zhuoran Liu, Xuejie et al.

Quelle: Information Systems. May2024, Vol. 122, pN.PAG-N.PAG. 1p.

Schlagwörter: *Algorithms, Matrix decomposition, Social networks, Matrix functions, Factorization