Artículos de revistas sobre el tema "MATRIX FACTORIZATION TECHNIQUES"
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Koren, Yehuda, Robert Bell y Chris Volinsky. "Matrix Factorization Techniques for Recommender Systems". Computer 42, n.º 8 (agosto de 2009): 30–37. http://dx.doi.org/10.1109/mc.2009.263.
Texto completoDu, Ke-Lin, M. N. S. Swamy, Zhang-Quan Wang y Wai Ho Mow. "Matrix Factorization Techniques in Machine Learning, Signal Processing, and Statistics". Mathematics 11, n.º 12 (12 de junio de 2023): 2674. http://dx.doi.org/10.3390/math11122674.
Texto completoBehl, Rachna y Indu Kashyap. "Locus recommendation using probabilistic matrix factorization techniques". Ingeniería Solidaria 17, n.º 1 (11 de enero de 2021): 1–25. http://dx.doi.org/10.16925/2357-6014.2021.01.10.
Texto completoNguyen, Jennifer y Mu Zhu. "Content-boosted matrix factorization techniques for recommender systems". Statistical Analysis and Data Mining 6, n.º 4 (2 de abril de 2013): 286–301. http://dx.doi.org/10.1002/sam.11184.
Texto completoWang, Fei, Hanghang Tong y Ching-Yung Lin. "Towards Evolutionary Nonnegative Matrix Factorization". Proceedings of the AAAI Conference on Artificial Intelligence 25, n.º 1 (4 de agosto de 2011): 501–6. http://dx.doi.org/10.1609/aaai.v25i1.7927.
Texto completoKhalane, Vivek, Shekhar Suralkar y Umesh Bhadade. "Image Encryption Based on Matrix Factorization". International Journal of Safety and Security Engineering 10, n.º 5 (30 de noviembre de 2020): 655–61. http://dx.doi.org/10.18280/ijsse.100510.
Texto completoNalavade, Jagannath E., Chandra Sekhar Kolli y Sanjay Nakharu Prasad Kumar. "Deep embedded clustering with matrix factorization based user rating prediction for collaborative recommendation". Multiagent and Grid Systems 19, n.º 2 (6 de octubre de 2023): 169–85. http://dx.doi.org/10.3233/mgs-230039.
Texto completoTong, Lei, Jing Yu, Chuangbai Xiao y Bin Qian. "Hyperspectral unmixing via deep matrix factorization". International Journal of Wavelets, Multiresolution and Information Processing 15, n.º 06 (noviembre de 2017): 1750058. http://dx.doi.org/10.1142/s0219691317500588.
Texto completoYashwanth, A. "Audio Enhancement and Denoising using Online Non-Negative Matrix Factorization and Deep Learning". International Journal for Research in Applied Science and Engineering Technology 10, n.º 6 (30 de junio de 2022): 1703–9. http://dx.doi.org/10.22214/ijraset.2022.44061.
Texto completoLin, Chih-Jen. "Projected Gradient Methods for Nonnegative Matrix Factorization". Neural Computation 19, n.º 10 (octubre de 2007): 2756–79. http://dx.doi.org/10.1162/neco.2007.19.10.2756.
Texto completoVishwas, B. C., Abhishek Gadia y Mainak Chaudhuri. "Implementing a Parallel Matrix Factorization Library on the Cell Broadband Engine". Scientific Programming 17, n.º 1-2 (2009): 3–29. http://dx.doi.org/10.1155/2009/710321.
Texto completoAbdi, Mohamed Hussein, George Onyango Okeyo y Ronald Waweru Mwangi. "Matrix Factorization Techniques for Context-Aware Collaborative Filtering Recommender Systems: A Survey". Computer and Information Science 11, n.º 2 (16 de marzo de 2018): 1. http://dx.doi.org/10.5539/cis.v11n2p1.
Texto completoMatuszyk, Pawel, João Vinagre, Myra Spiliopoulou, Alípio Mário Jorge y João Gama. "Forgetting techniques for stream-based matrix factorization in recommender systems". Knowledge and Information Systems 55, n.º 2 (4 de agosto de 2017): 275–304. http://dx.doi.org/10.1007/s10115-017-1091-8.
Texto completoLi, Pengyu, Christine Tseng, Yaxuan Zheng, Joyce A. Chew, Longxiu Huang, Benjamin Jarman y Deanna Needell. "Guided Semi-Supervised Non-Negative Matrix Factorization". Algorithms 15, n.º 5 (20 de abril de 2022): 136. http://dx.doi.org/10.3390/a15050136.
Texto completoFILELIS-PAPADOPOULOS, CHRISTOS K. y GEORGE A. GRAVVANIS. "GENERIC APPROXIMATE SPARSE INVERSE MATRIX TECHNIQUES". International Journal of Computational Methods 11, n.º 06 (diciembre de 2014): 1350084. http://dx.doi.org/10.1142/s0219876213500849.
Texto completoDeepthi, S. Aruna, E. Sreenivasa Rao y M. N. Giri Prasad. "RTL Implementation of image compression techniques in WSN". International Journal of Electrical and Computer Engineering (IJECE) 9, n.º 3 (1 de junio de 2019): 1750. http://dx.doi.org/10.11591/ijece.v9i3.pp1750-1756.
Texto completoFarina, Gabriele y Tuomas Sandholm. "Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 5 (28 de junio de 2022): 4999–5007. http://dx.doi.org/10.1609/aaai.v36i5.20431.
Texto completoOng, Kyle, Kok-Why Ng y Su-Cheng Haw. "Neural matrix factorization++ based recommendation system". F1000Research 10 (25 de octubre de 2021): 1079. http://dx.doi.org/10.12688/f1000research.73240.1.
Texto completoBranham, Richard L. "Global Astrometric Solutions with Sparse Matrix Techniques". International Astronomical Union Colloquium 180 (marzo de 2000): 127–31. http://dx.doi.org/10.1017/s0252921100000221.
Texto completoMcGraw, Tim, Jisun Kang y Donald Herring. "Sparse Non-Negative Matrix Factorization for Mesh Segmentation". International Journal of Image and Graphics 16, n.º 01 (enero de 2016): 1650004. http://dx.doi.org/10.1142/s0219467816500042.
Texto completoHepsibah, K., M. S. Heaven y M. Saravanan. "Image Enhancement based on Nonsubsampled Contourlet Transform using Matrix Factorization Techniques". International Journal of Computer Applications 123, n.º 6 (18 de agosto de 2015): 35–38. http://dx.doi.org/10.5120/ijca2015905372.
Texto completoMa, Wenming, Rongjie Shan y Mingming Qi. "General Collaborative Filtering for Web Service QoS Prediction". Mathematical Problems in Engineering 2018 (3 de diciembre de 2018): 1–18. http://dx.doi.org/10.1155/2018/5787406.
Texto completoWu, Qing, Jie Wang, Jin Fan, Gang Xu, Jia Wu, Blake Johnson, Xingfei Li, Quan Do y Ruiquan Ge. "Improved Coupled Tensor Factorization with Its Applications in Health Data Analysis". Complexity 2019 (5 de febrero de 2019): 1–16. http://dx.doi.org/10.1155/2019/1574240.
Texto completoPorteous, Ian, Arthur Asuncion y Max Welling. "Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures". Proceedings of the AAAI Conference on Artificial Intelligence 24, n.º 1 (3 de julio de 2010): 563–68. http://dx.doi.org/10.1609/aaai.v24i1.7686.
Texto completoShi, Zihui y Yaoning Ge. "CMF-SMR: Convolutional matrix factorization for sequential movie recommendations". Applied and Computational Engineering 14, n.º 1 (23 de octubre de 2023): 86–95. http://dx.doi.org/10.54254/2755-2721/14/20230769.
Texto completoLin, Chuang y Meng Pang. "Graph Regularized Nonnegative Matrix Factorization with Sparse Coding". Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/239589.
Texto completoHurd, R. A. y E. Lüneburg. "Diffraction by an anisotropic impedance half plane". Canadian Journal of Physics 63, n.º 9 (1 de septiembre de 1985): 1135–40. http://dx.doi.org/10.1139/p85-185.
Texto completoTokala, Srilatha, Murali Krishna Enduri, T. Jaya Lakshmi y Hemlata Sharma. "Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations". Entropy 25, n.º 9 (20 de septiembre de 2023): 1360. http://dx.doi.org/10.3390/e25091360.
Texto completoGomathy, Dr C. K. "A Comparing Collaborative Filtering and Hybrid Recommender System for E-Commerce". International Journal for Research in Applied Science and Engineering Technology 9, n.º 11 (30 de noviembre de 2021): 635–38. http://dx.doi.org/10.22214/ijraset.2021.38844.
Texto completoEhrhardt, Torsten y Frank-Olme Speck. "Transformation techniques towards the factorization of non-rational 2×2 matrix functions". Linear Algebra and its Applications 353, n.º 1-3 (septiembre de 2002): 53–90. http://dx.doi.org/10.1016/s0024-3795(02)00288-4.
Texto completoHuang, Yan, Guisheng Liao, Zhen Zhang, Yijian Xiang, Jie Li y Arye Nehorai. "Fast Narrowband RFI Suppression Algorithms for SAR Systems via Matrix-Factorization Techniques". IEEE Transactions on Geoscience and Remote Sensing 57, n.º 1 (enero de 2019): 250–62. http://dx.doi.org/10.1109/tgrs.2018.2853556.
Texto completoZhang, Zhijun y Hong Liu. "Application and Research of Improved Probability Matrix Factorization Techniques in Collaborative Filtering". International Journal of Control and Automation 7, n.º 8 (31 de agosto de 2014): 79–92. http://dx.doi.org/10.14257/ijca.2014.7.8.08.
Texto completoZheng, Xiaoyao, Yonglong Luo, Liping Sun y Fulong Chen. "A New Recommender System Using Context Clustering Based on Matrix Factorization Techniques". Chinese Journal of Electronics 25, n.º 2 (1 de marzo de 2016): 334–40. http://dx.doi.org/10.1049/cje.2016.03.021.
Texto completoFernsel, Pascal. "Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization". Journal of Imaging 7, n.º 10 (28 de septiembre de 2021): 194. http://dx.doi.org/10.3390/jimaging7100194.
Texto completoSethuraman, Ram y Akshay Havalgi. "Novel Approach of Neural Collaborative Filter by Pairwise Objective Function with Matrix Factorization". International Journal of Engineering & Technology 7, n.º 3.12 (20 de julio de 2018): 1213. http://dx.doi.org/10.14419/ijet.v7i3.12.17840.
Texto completoYousefi, Bardia, Hamed Akbari, Michelle Hershman, Satoru Kawakita, Henrique C. Fernandes, Clemente Ibarra-Castanedo, Samad Ahadian y Xavier P. V. Maldague. "SPAER: Sparse Deep Convolutional Autoencoder Model to Extract Low Dimensional Imaging Biomarkers for Early Detection of Breast Cancer Using Dynamic Thermography". Applied Sciences 11, n.º 7 (5 de abril de 2021): 3248. http://dx.doi.org/10.3390/app11073248.
Texto completoXu, Yunxia, Linzhang Lu, Qilong Liu y Zhen Chen. "Hypergraph-Regularized Lp Smooth Nonnegative Matrix Factorization for Data Representation". Mathematics 11, n.º 13 (23 de junio de 2023): 2821. http://dx.doi.org/10.3390/math11132821.
Texto completoDai, Wen, Xi Liu, Yibo Gao, Lin Chen, Jianglong Song, Di Chen, Kuo Gao et al. "Matrix Factorization-Based Prediction of Novel Drug Indications by Integrating Genomic Space". Computational and Mathematical Methods in Medicine 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/275045.
Texto completoMa, Xiaoxuan, Zhiwen Li y Hengyou Wang. "Deep Matrix Factorization Based on Convolutional Neural Networks for Image Inpainting". Entropy 24, n.º 10 (20 de octubre de 2022): 1500. http://dx.doi.org/10.3390/e24101500.
Texto completoSompairac, Nicolas, Petr V. Nazarov, Urszula Czerwinska, Laura Cantini, Anne Biton, Askhat Molkenov, Zhaxybay Zhumadilov et al. "Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets". International Journal of Molecular Sciences 20, n.º 18 (7 de septiembre de 2019): 4414. http://dx.doi.org/10.3390/ijms20184414.
Texto completoAlshammari, Aadil y Mohammed Alshammari. "A Recommendation Engine Model for Giant Social Media Platforms using a Probabilistic Approach". Engineering, Technology & Applied Science Research 13, n.º 5 (13 de octubre de 2023): 11904–10. http://dx.doi.org/10.48084/etasr.6325.
Texto completoNourani, Esmaeil, Farshad Khunjush y F. Erdoğan Sevilgen. "Virus–human protein–protein interaction prediction using Bayesian matrix factorization and projection techniques". Biocybernetics and Biomedical Engineering 38, n.º 3 (2018): 574–85. http://dx.doi.org/10.1016/j.bbe.2018.04.006.
Texto completoHarrison, Brent y David Roberts. "A Review of Student Modeling Techniques in Intelligent Tutoring Systems". Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 8, n.º 5 (30 de junio de 2021): 61–66. http://dx.doi.org/10.1609/aiide.v8i5.12574.
Texto completoCasalino, Gabriella, Ciro Castiello, Nicoletta Del Buono y Corrado Mencar. "A framework for intelligent Twitter data analysis with non-negative matrix factorization". International Journal of Web Information Systems 14, n.º 3 (20 de agosto de 2018): 334–56. http://dx.doi.org/10.1108/ijwis-11-2017-0081.
Texto completoWu, Hsiao-Chun, Shih Yu Chang, Tho Le-Ngoc y Yiyan Wu. "Efficient Rank-Adaptive Least-Square Estimation and Multiple-Parameter Linear Regression Using Novel Dyadically Recursive Hermitian Matrix Inversion". International Journal of Antennas and Propagation 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/891932.
Texto completoSingh, Bharat y Om Prakash Vyas. "A PSO Based Approach for Producing Optimized Latent Factor in Special Reference to Big Data". International Journal of Service Science, Management, Engineering, and Technology 7, n.º 3 (julio de 2016): 55–70. http://dx.doi.org/10.4018/ijssmet.2016070104.
Texto completoQian, Bin, Lei Tong, Zhenmin Tang y Xiaobo Shen. "Nonnegative matrix factorization with region sparsity learning for hyperspectral unmixing". International Journal of Wavelets, Multiresolution and Information Processing 15, n.º 06 (noviembre de 2017): 1750063. http://dx.doi.org/10.1142/s0219691317500631.
Texto completoAgrawal, Pallavi y Madhu Shandilya. "Model-Based Method for Acoustic Echo Cancelation and Near-End Speaker Extraction: Non-negative Matrix Factorization". Journal of Telecommunications and Information Technology 2 (29 de junio de 2018): 15–22. http://dx.doi.org/10.26636/jtit.2018.122617.
Texto completoCai, Weihong, Xin Du y Jianlong Xu. "A Personalized QoS Prediction Method for Web Services via Blockchain-Based Matrix Factorization". Sensors 19, n.º 12 (19 de junio de 2019): 2749. http://dx.doi.org/10.3390/s19122749.
Texto completoJiang, Xiaoyu y Kicheon Hong. "Exact Determinants of Some Special Circulant Matrices Involving Four Kinds of Famous Numbers". Abstract and Applied Analysis 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/273680.
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