Výsledky vyhľadávania - matrix factorization algorithm modeling

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  1. 1

    Non-negative matrix factorization based modeling and training algorithm for multi-label learning Autor SUN, Liang, GE, Hongwei, KANG, Wenjing

    ISSN: 2095-2228, 2095-2236
    Vydavateľské údaje: Beijing Higher Education Press 01.12.2019
    Vydané v Frontiers of Computer Science (01.12.2019)
    “… To this end, we propose a novel non-negative matrix factorization (NMF) based modeling and training algorithm that learns from both the adjacencies of the instances and the labels of the training set…”
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  2. 2

    Optimal Number of Topics in Topic Modeling Using Deep Auto Encoder Graph Regularized Non-Negative Matrix Factorization Algorithm Autor Kherwa, Pooja, Arora, Jyoti

    ISSN: 1004-3756, 1861-9576
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2025
    “… Motivated by the observed information, this research introduces a novel Deep Auto encoder Graph Regularized Non-negative Matrix Factorization algorithm (DAGR-NMF…”
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  3. 3

    Convergence analysis of a non-negative matrix factorization algorithm based on Gibbs random field modeling Autor Yang, Chenxue, Ye, Mao, Liu, Zijian

    ISSN: 1598-5865, 1865-2085
    Vydavateľské údaje: Berlin/Heidelberg Springer-Verlag 01.07.2013
    “…Non-negative matrix factorization (NMF) is a new approach to deal with the multivariate nonnegative data…”
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  4. 4

    Normalized Matrix Factorization with Implicit FeedBack and Baseline Predictor Autor Hao, Yumeng, Ma, Wenming

    Vydavateľské údaje: IEEE 17.10.2020
    “… Especially in the sparse matrix problem, the recommendation accuracy cannot be guaranteed. This paper will be based on the matrix factorization algorithm modeling…”
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  5. 5

    Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction Autor Liu, Yong, Wu, Min, Miao, Chunyan, Zhao, Peilin, Li, Xiao-Li

    ISSN: 1553-7358, 1553-734X, 1553-7358
    Vydavateľské údaje: United States Public Library of Science 12.02.2016
    Vydané v PLoS computational biology (12.02.2016)
    “… In this paper, we propose a novel drug-target interaction prediction algorithm, namely neighborhood regularized logistic matrix factorization (NRLMF…”
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    Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization Autor Sun, Dachun, Yang, Chaoqi, Li, Jinyang, Wang, Ruijie, Yao, Shuochao, Shao, Huajie, Liu, Dongxin, Liu, Shengzhong, Wang, Tianshi, Abdelzaher, Tarek F.

    ISSN: 2624-909X, 2624-909X
    Vydavateľské údaje: Switzerland Frontiers Media S.A 22.12.2021
    Vydané v Frontiers in big data (22.12.2021)
    “… We call such scenarios hierarchically polarized groups . An (enhanced) unsupervised Non-negative Matrix Factorization (NMF…”
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  7. 7

    Non-negative matrix factorization algorithms modeling noise distributions within the exponential family Autor Cheung, V.C.K., Tresch, M.C.

    ISBN: 0780387414, 9780780387416
    ISSN: 1094-687X, 1557-170X
    Vydavateľské údaje: United States IEEE 2005
    “…We developed non-negative factorization algorithms based on statistical distributions which are members of the exponential family, and using multiplicative update rules…”
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    Konferenčný príspevok.. Journal Article
  8. 8

    Stability of topic modeling via matrix factorization Autor Belford, Mark, Mac Namee, Brian, Greene, Derek

    ISSN: 0957-4174, 1873-6793
    Vydavateľské údaje: New York Elsevier Ltd 01.01.2018
    Vydané v Expert systems with applications (01.01.2018)
    “…•Three new stability measures for topic models are proposed.•Two new ensemble approaches for topic modeling with matrix factorization are proposed…”
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  9. 9

    Application of positive matrix factorization in source apportionment of particulate pollutants in Hong Kong Autor Lee, Eddie, Chan, Chak K., Paatero, Pentti

    ISSN: 1352-2310, 1873-2844
    Vydavateľské údaje: Oxford Elsevier Ltd 01.08.1999
    Vydané v Atmospheric environment (1994) (01.08.1999)
    “…An advanced algorithm called positive matrix factorization (PMF) in receptor modeling was used to identify the sources of respirable suspended particulates (RSP) in Hong Kong…”
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  10. 10

    Cepstral‐Basis‐Decomposed Nonnegative Matrix Factorization for Speech Signal Modeling Autor Oshima, Fuga, Nakayama, Masashi

    ISSN: 1931-4973, 1931-4981
    Vydavateľské údaje: Hoboken, USA John Wiley & Sons, Inc 01.09.2025
    “…This study presents an enhanced nonnegative matrix factorization (NMF) algorithm designed for speech signal modeling…”
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  11. 11

    Materials structure–property factorization for identification of synergistic phase interactions in complex solar fuels photoanodes Autor Guevarra, Dan, Zhou, Lan, Richter, Matthias H., Shinde, Aniketa, Chen, Di, Gomes, Carla P., Gregoire, John M.

    ISSN: 2057-3960, 2057-3960
    Vydavateľské údaje: London Nature Publishing Group UK 05.04.2022
    Vydané v npj computational materials (05.04.2022)
    “…) to matrix factorization-based modeling of the representative properties of each phase in a dataset…”
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  12. 12

    Unsupervised Bayesian linear unmixing of gene expression microarrays Autor Bazot, Cécile, Dobigeon, Nicolas, Tourneret, Jean-Yves, Zaas, Aimee K, Ginsburg, Geoffrey S, O Hero III, Alfred

    ISSN: 1471-2105, 1471-2105
    Vydavateľské údaje: London BioMed Central 19.03.2013
    Vydané v BMC bioinformatics (19.03.2013)
    “…Background This paper introduces a new constrained model and the corresponding algorithm, called unsupervised Bayesian linear unmixing (uBLU…”
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  13. 13

    NMF-based approach to automatic term extraction Autor Nugumanova, Aliya, Akhmed-Zaki, Darkhan, Mansurova, Madina, Baiburin, Yerzhan, Maulit, Almasbek

    ISSN: 0957-4174, 1873-6793
    Vydavateľské údaje: New York Elsevier Ltd 01.08.2022
    Vydané v Expert systems with applications (01.08.2022)
    “…) and non-negative matrix factorization (NMF). Topic modeling algorithms including NMF-based ones do not require expensive and time-consuming manual annotations for domain terms, but only a corpus of domain documents…”
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  14. 14

    Semi-supervised Multichannel Speech Enhancement with Variational Autoencoders and Non-negative Matrix Factorization Autor Leglaive, Simon, Girin, Laurent, Horaud, Radu

    ISSN: 2379-190X
    Vydavateľské údaje: IEEE 01.05.2019
    “… The noisy recording environment is supposed to be unknown, so the noise spectro-temporal modeling remains unsupervised and is based on non-negative matrix factorization (NMF…”
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  15. 15

    Denoising Hyperspectral Image With Non-i.i.d. Noise Structure Autor Chen, Yang, Cao, Xiangyong, Zhao, Qian, Meng, Deyu, Xu, Zongben

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Vydavateľské údaje: United States IEEE 01.03.2018
    Vydané v IEEE transactions on cybernetics (01.03.2018)
    “…Hyperspectral image (HSI) denoising has been attracting much research attention in remote sensing area due to its importance in improving the HSI qualities…”
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    Robust vertex enumeration for convex hulls in high dimensions Autor Awasthi, Pranjal, Kalantari, Bahman, Zhang, Yikai

    ISSN: 0254-5330, 1572-9338
    Vydavateľské údaje: New York Springer US 01.12.2020
    Vydané v Annals of operations research (01.12.2020)
    “… in the context of computational geometry, linear and convex programming, machine learning and more. In this article we present All Vertex Triangle Algorithm (AVTA…”
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    Modeling Shielded Gamma-ray Source Spectra using Non-negative Matrix Factorization Autor Bilton, K. J., Bandstra, M. S., Joshi, T. H., Curtis, J. C., Cooper, R. J., Vetter, K.

    ISSN: 2577-0829
    Vydavateľské údaje: IEEE 01.10.2019
    “… In this paper, a data-driven approach for modeling spectral contributions from shielded sources using Non-negative Matrix Factorization (NMF) is examined…”
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  18. 18

    Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview Autor Yuejie Chi, Lu, Yue M., Yuxin Chen

    ISSN: 1053-587X, 1941-0476
    Vydavateľské údaje: New York IEEE 15.10.2019
    “…Substantial progress has been made recently on developing provably accurate and efficient algorithms for low-rank matrix factorization via nonconvex optimization…”
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    A Novel Muscle Synergy Extraction Method Used for Motor Function Evaluation of Stroke Patients: A Pilot Study Autor Ma, Yehao, Shi, Changcheng, Xu, Jialin, Ye, Sijia, Zhou, Huilin, Zuo, Guokun

    ISSN: 1424-8220, 1424-8220
    Vydavateľské údaje: Basel MDPI AG 01.06.2021
    Vydané v Sensors (Basel, Switzerland) (01.06.2021)
    “… In this study, MCR-ALS was employed to extract muscle synergy from electromyography (EMG) data. Its performance was compared with two other matrix factorization algorithms, NMF and self…”
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    Adaptive Multiview Nonnegative Matrix Factorization Algorithm for Integration of Multimodal Biomedical Data Autor Ray, Bisakha, Liu, Wenke, Fenyö, David

    ISSN: 1176-9351, 1176-9351
    Vydavateľské údaje: United States SAGE Publishing 2017
    Vydané v Cancer informatics (2017)
    “… In this article, we introduce an extension to a multiview nonnegative matrix factorization algorithm (NNMF…”
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