Search Results - the random non‐negative matrix factorization algorithm~

Decoding the encoding of functional brain networks: An fMRI classification comparison of non-negative matrix factorization (NMF), independent component analysis (ICA), and sparse coding algorithms

Authors: Xie, Jianwen Douglas, Pamela K Wu, Ying Nian et al.

Source: Journal of Neuroscience Methods. 282

Subject Terms: 32 Biomedical and Clinical Sciences (for-2020), 3209 Neurosciences (for-2020), Clinical Research (rcdc), Machine Learning and Artificial Intelligence (rcdc), Neurosciences (rcdc), Biomedical Imaging (rcdc), Bioengineering (rcdc), Algorithms (mesh), Auditory Perception (mesh), Brain (mesh), Brain Mapping (mesh), Cerebrovascular Circulation (mesh), Humans (mesh), Magnetic Resonance Imaging (mesh), Motion Perception (mesh), Neural Pathways (mesh), Neuropsychological Tests (mesh), Oxygen (mesh), Rest (mesh), FMRI, Classification, ICA, NMF, K-SVD, L1 Regularized Learning, Independent component analysis, Brain (mesh), Neural Pathways (mesh), Humans (mesh), Oxygen (mesh), Magnetic Resonance Imaging (mesh), Brain Mapping (mesh), Auditory Perception (mesh), Motion Perception (mesh), Neuropsychological Tests (mesh), Cerebrovascular Circulation (mesh), Algorithms (mesh), Rest (mesh), Artifacts, Classification, FMRI, ICA, Image processing, Independent component analysis, K-SVD, L1 Regularized Learning, Machine learning, NMF, Negative BOLD signal, Non-negative matrix factorization, Pattern recognition, Random forests, Sparsity, Support vector machines, Algorithms (mesh), Auditory Perception (mesh), Brain (mesh), Brain Mapping (mesh), Cerebrovascular Circulation (mesh), Humans (mesh), Magnetic Resonance Imaging (mesh), Motion Perception (mesh), Neural Pathways (mesh), Neuropsychological Tests (mesh), Oxygen (mesh), Rest (mesh), 1109 Neurosciences (for), 1701 Psychology (for), 1702 Cognitive Sciences (for), Neurology & Neurosurgery (science-metrix), 3209 Neurosciences (for-2020)

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/2n032848
https://escholarship.org/content/qt2n032848/qt2n032848.pdf

Convergence analysis of a non-negative matrix factorization algorithm based on Gibbs random field modeling

Authors: Chenxue Yang Mao Ye Zijian Liu

Source: Journal of Applied Mathematics and Computing. 42:491-508

Subject Terms: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences

Access URL: https://link.springer.com/article/10.1007/s12190-013-0646-4
https://link.springer.com/article/10.1007/s12190-013-0646-4/fulltext.html

An Efficient Algorithm for Non-Negative Matrix Factorization with Random Projections

Authors: Torre, Gabriele Graber, Michael

Index Terms: Mathematics - Numerical Analysis, Computer Science - Discrete Mathematics, text

URL: http://arxiv.org/abs/1712.02248

Privacy-Preserving Non-Negative Matrix Factorization with Outliers.

Authors: Saha, Swapnil Imtiaz, Hafiz

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

Subject Terms: MATRIX decomposition, NONNEGATIVE matrices, MACHINE learning, PRIVACY

Matrix Factorization for Inferring Associations and Missing Links

Authors: Barron, Ryan Eren, Maksim E. Truong, Duc P. et al.

Index Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Logic in Computer Science, text

URL: http://arxiv.org/abs/2503.04680

二维卷积非负矩阵分解的初值确定混合算法.

Alternate Title: Hybrid algorithm based initialization for 2-D convolutive non-negative matrix factorization.

Authors: 付强 景博 何鹏举 et al.

Source: Journal of Harbin Institute of Technology. Social Sciences Edition / Haerbin Gongye Daxue Xuebao. Shehui Kexue Ban. May2019, Vol. 51 Issue 5, p125-130. 6p.

Non-negative matrix factorization algorithm for the deconvolution of one dimensional chromatograms

Authors: P. Rameshbabu S. Anbumalar R. Ananda Natarajan

Source: Applied Mathematics and Computation. 241:242-258

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0104 chemical sciences, 3. Good health

Access URL: http://www.sciencedirect.com/science/article/pii/S0096300314006870
https://dblp.uni-trier.de/db/journals/amc/amc241.html#AnbumalarNR14
https://www.sciencedirect.com/science/article/pii/S0096300314006870

A novel computational framework for integrating multidimensional data to enhance accuracy in predicting the prognosis of colorectal cancer

Authors: Qinran Zhang Yuhong Xu Shiyang Kang et al.

Source: MedComm – Future Medicine, Vol 1, Iss 2, Pp n/a-n/a (2022)

Subject Terms: 0301 basic medicine, multidimensional data integration, 0303 health sciences, 03 medical and health sciences, the random non‐negative matrix factorization algorithm, Computer applications to medicine. Medical informatics, Medical technology, R858-859.7, biomarker, prognosis prediction, R855-855.5, stage II/III colorectal cancer, 3. Good health

Access URL: https://doaj.org/article/3ff37f33f1124377b3d895e70e5ee03e

An Improved Nonnegative Matrix Factorization Algorithm Combined with K-Means for Audio Noise Reduction.

Authors: Liu, Yan Zhu, Haozhen Cui, Yongtuo et al.

Source: Electronics (2079-9292); Oct2024, Vol. 13 Issue 20, p4132, 22p

Subject Terms: MATRIX decomposition, NONNEGATIVE matrices, NOISE control, SIGNAL-to-noise ratio, FEATURE extraction

Evaluation of Non-Negative Matrix Factorization and n-stage Latent Dirichlet Allocation for Emotion Analysis in Turkish Tweets

Authors: Guven, Zekeriya Anil Diri, Banu Cakaloglu, Tolgahan

Index Terms: Computer Science - Computation and Language, Computer Science - Information Retrieval, Computer Science - Machine Learning, H.3.3, I.2.7, I.7.0, text

URL: http://arxiv.org/abs/2110.00418

A seismic thin‐layer detection factor calculated by integrated S transform with non‐negative matrix factorization.

Authors: Zhao, Yasong Cao, Hong Yang, Zhifang et al.

Source: Geophysical Prospecting; Jul2024, Vol. 72 Issue 6, p2274-2281, 8p

Subject Terms: MATRIX decomposition, NONNEGATIVE matrices, TIME-frequency analysis, FREQUENCY-domain analysis

An improved non-negative matrix factorization algorithm based on genetic algorithm

Authors: Zhi Yu Sheng Zhou Can Wang

Source: Advances in Computer Science Research.

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Access URL: https://download.atlantis-press.com/article/16356.pdf
https://www.atlantis-press.com/proceedings/iccset-14/16356

Towards a linearly organized embedding space of biological networks

Authors: Xenos, Alexandros

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament de Ciències de la Computació

Thesis Advisors: Przulj, Natasa, Larrosa Bondia, Francisco Javier

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Àrees temàtiques de la UPC::Informàtica, Àrees temàtiques de la UPC::Matemàtiques i estadística

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/690743
https://dx.doi.org/10.5821/dissertation-2117-407453

Singular Value Decomposition-Driven Non-negative Matrix Factorization with Application to Identify the Association Patterns of Sarcoma Recurrence.

Authors: Deng J Li K Luo W

Source: Interdisciplinary sciences, computational life sciences [Interdiscip Sci] 2024 Sep; Vol. 16 (3), pp. 554-567. Date of Electronic Publication: 2024 Mar 01.

Publication Type: Journal Article

Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101515919 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1462 (Electronic) Linking ISSN: 18671462 NLM ISO Abbreviation: Interdiscip Sci Subsets: MEDLINE

MeSH Terms: Sarcoma*/genetics , Sarcoma*/metabolism , Algorithms* , Neoplasm Recurrence, Local*/genetics, Humans ; Computational Biology/methods ; Reproducibility of Results

Identification of important risk factors for all-cause mortality of acquired long QT syndrome patients using random survival forests and non-negative matrix factorization.

Authors: Chen C Zhou J Yu H et al.

Source: Heart rhythm [Heart Rhythm] 2021 Mar; Vol. 18 (3), pp. 426-433. Date of Electronic Publication: 2020 Oct 28.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 101200317 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1556-3871 (Electronic) Linking ISSN: 15475271 NLM ISO Abbreviation: Heart Rhythm Subsets: MEDLINE

MeSH Terms: Algorithms* , Electrocardiography*, Heart Rate/*physiology , Long QT Syndrome/*mortality, Cause of Death/trends ; China/epidemiology ; Female ; Follow-Up Studies ; Humans ; Long QT Syndrome/physiopathology ; Male ; Middle Aged ; Retrospective Studies ; Risk Factors ; Survival Rate/trends

Group and Basis Restricted Non-Negative Matrix Factorization and Random Forest for Molecular Histotype Classification and Raman Biomarker Monitoring in Breast Cancer.

Authors: Deng X Milligan K Ali-Adeeb R et al.

Source: Applied spectroscopy [Appl Spectrosc] 2022 Apr; Vol. 76 (4), pp. 462-474. Date of Electronic Publication: 2021 Aug 06.

Publication Type: Journal Article

Journal Info: Publisher: Sage Country of Publication: United States NLM ID: 0372406 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1943-3530 (Electronic) Linking ISSN: 00037028 NLM ISO Abbreviation: Appl Spectrosc Subsets: MEDLINE

MeSH Terms: Breast Neoplasms*/metabolism, Algorithms ; Breast ; Female ; Humans ; Spectrum Analysis, Raman/methods

Convergence analysis of a non-negative matrix factorization algorithm based on Gibbs random field modeling.

Authors: Yang, Chenxue Ye, Mao Liu, Zijian

Source: Journal of Applied Mathematics & Computing; Jul2013, Vol. 42 Issue 1/2, p491-508, 18p

CoGAPS 3: Bayesian non-negative matrix factorization for single-cell analysis with asynchronous updates and sparse data structures.

Authors: Sherman, Thomas D. Gao, Tiger Fertig, Elana J.

Source: BMC Bioinformatics; 10/14/2020, Vol. 21 Issue 1, p1-6, 6p

Subject Terms: MATRIX decomposition, NONNEGATIVE matrices, SOFTWARE frameworks, BIG data, ALGORITHMS, DATA structures

Nonnegative matrix factorization analysis and multiple machine learning methods identified IL17C and ACOXL as novel diagnostic biomarkers for atherosclerosis.

Authors: Rao L Peng B Li T

Source: BMC bioinformatics [BMC Bioinformatics] 2023 May 12; Vol. 24 (1), pp. 196. Date of Electronic Publication: 2023 May 12.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE

MeSH Terms: Atherosclerosis*/diagnosis , Atherosclerosis*/genetics, Humans ; Algorithms ; Random Forest ; Machine Learning ; Biomarkers

A comparative analysis of computational drug repurposing approaches: proposing a novel tensor-matrix-tensor factorization method.

Authors: Zabihian A Asghari J Hooshmand M et al.

Source: Molecular diversity [Mol Divers] 2024 Aug; Vol. 28 (4), pp. 2177-2196. Date of Electronic Publication: 2024 Apr 29.

Publication Type: Journal Article; Comparative Study

Journal Info: Publisher: ESCOM Science Publishers Country of Publication: Netherlands NLM ID: 9516534 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-501X (Electronic) Linking ISSN: 13811991 NLM ISO Abbreviation: Mol Divers Subsets: MEDLINE

MeSH Terms: Drug Repositioning*/methods, Neural Networks, Computer ; Machine Learning ; Deep Learning ; Drug Discovery/methods ; Algorithms ; Computational Biology/methods ; Humans