Artykuły w czasopismach na temat „MATRIX FACTORIZATION TECHNIQUES”
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Koren, Yehuda, Robert Bell i Chris Volinsky. "Matrix Factorization Techniques for Recommender Systems". Computer 42, nr 8 (sierpień 2009): 30–37. http://dx.doi.org/10.1109/mc.2009.263.
Pełny tekst źródłaDu, Ke-Lin, M. N. S. Swamy, Zhang-Quan Wang i Wai Ho Mow. "Matrix Factorization Techniques in Machine Learning, Signal Processing, and Statistics". Mathematics 11, nr 12 (12.06.2023): 2674. http://dx.doi.org/10.3390/math11122674.
Pełny tekst źródłaBehl, Rachna, i Indu Kashyap. "Locus recommendation using probabilistic matrix factorization techniques". Ingeniería Solidaria 17, nr 1 (11.01.2021): 1–25. http://dx.doi.org/10.16925/2357-6014.2021.01.10.
Pełny tekst źródłaNguyen, Jennifer, i Mu Zhu. "Content-boosted matrix factorization techniques for recommender systems". Statistical Analysis and Data Mining 6, nr 4 (2.04.2013): 286–301. http://dx.doi.org/10.1002/sam.11184.
Pełny tekst źródłaWang, Fei, Hanghang Tong i Ching-Yung Lin. "Towards Evolutionary Nonnegative Matrix Factorization". Proceedings of the AAAI Conference on Artificial Intelligence 25, nr 1 (4.08.2011): 501–6. http://dx.doi.org/10.1609/aaai.v25i1.7927.
Pełny tekst źródłaKhalane, Vivek, Shekhar Suralkar i Umesh Bhadade. "Image Encryption Based on Matrix Factorization". International Journal of Safety and Security Engineering 10, nr 5 (30.11.2020): 655–61. http://dx.doi.org/10.18280/ijsse.100510.
Pełny tekst źródłaNalavade, Jagannath E., Chandra Sekhar Kolli i Sanjay Nakharu Prasad Kumar. "Deep embedded clustering with matrix factorization based user rating prediction for collaborative recommendation". Multiagent and Grid Systems 19, nr 2 (6.10.2023): 169–85. http://dx.doi.org/10.3233/mgs-230039.
Pełny tekst źródłaTong, Lei, Jing Yu, Chuangbai Xiao i Bin Qian. "Hyperspectral unmixing via deep matrix factorization". International Journal of Wavelets, Multiresolution and Information Processing 15, nr 06 (listopad 2017): 1750058. http://dx.doi.org/10.1142/s0219691317500588.
Pełny tekst źródłaYashwanth, 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, nr 6 (30.06.2022): 1703–9. http://dx.doi.org/10.22214/ijraset.2022.44061.
Pełny tekst źródłaLin, Chih-Jen. "Projected Gradient Methods for Nonnegative Matrix Factorization". Neural Computation 19, nr 10 (październik 2007): 2756–79. http://dx.doi.org/10.1162/neco.2007.19.10.2756.
Pełny tekst źródłaVishwas, B. C., Abhishek Gadia i Mainak Chaudhuri. "Implementing a Parallel Matrix Factorization Library on the Cell Broadband Engine". Scientific Programming 17, nr 1-2 (2009): 3–29. http://dx.doi.org/10.1155/2009/710321.
Pełny tekst źródłaAbdi, Mohamed Hussein, George Onyango Okeyo i Ronald Waweru Mwangi. "Matrix Factorization Techniques for Context-Aware Collaborative Filtering Recommender Systems: A Survey". Computer and Information Science 11, nr 2 (16.03.2018): 1. http://dx.doi.org/10.5539/cis.v11n2p1.
Pełny tekst źródłaMatuszyk, Pawel, João Vinagre, Myra Spiliopoulou, Alípio Mário Jorge i João Gama. "Forgetting techniques for stream-based matrix factorization in recommender systems". Knowledge and Information Systems 55, nr 2 (4.08.2017): 275–304. http://dx.doi.org/10.1007/s10115-017-1091-8.
Pełny tekst źródłaLi, Pengyu, Christine Tseng, Yaxuan Zheng, Joyce A. Chew, Longxiu Huang, Benjamin Jarman i Deanna Needell. "Guided Semi-Supervised Non-Negative Matrix Factorization". Algorithms 15, nr 5 (20.04.2022): 136. http://dx.doi.org/10.3390/a15050136.
Pełny tekst źródłaFILELIS-PAPADOPOULOS, CHRISTOS K., i GEORGE A. GRAVVANIS. "GENERIC APPROXIMATE SPARSE INVERSE MATRIX TECHNIQUES". International Journal of Computational Methods 11, nr 06 (grudzień 2014): 1350084. http://dx.doi.org/10.1142/s0219876213500849.
Pełny tekst źródłaDeepthi, S. Aruna, E. Sreenivasa Rao i M. N. Giri Prasad. "RTL Implementation of image compression techniques in WSN". International Journal of Electrical and Computer Engineering (IJECE) 9, nr 3 (1.06.2019): 1750. http://dx.doi.org/10.11591/ijece.v9i3.pp1750-1756.
Pełny tekst źródłaFarina, Gabriele, i Tuomas Sandholm. "Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games". Proceedings of the AAAI Conference on Artificial Intelligence 36, nr 5 (28.06.2022): 4999–5007. http://dx.doi.org/10.1609/aaai.v36i5.20431.
Pełny tekst źródłaOng, Kyle, Kok-Why Ng i Su-Cheng Haw. "Neural matrix factorization++ based recommendation system". F1000Research 10 (25.10.2021): 1079. http://dx.doi.org/10.12688/f1000research.73240.1.
Pełny tekst źródłaBranham, Richard L. "Global Astrometric Solutions with Sparse Matrix Techniques". International Astronomical Union Colloquium 180 (marzec 2000): 127–31. http://dx.doi.org/10.1017/s0252921100000221.
Pełny tekst źródłaMcGraw, Tim, Jisun Kang i Donald Herring. "Sparse Non-Negative Matrix Factorization for Mesh Segmentation". International Journal of Image and Graphics 16, nr 01 (styczeń 2016): 1650004. http://dx.doi.org/10.1142/s0219467816500042.
Pełny tekst źródłaHepsibah, K., M. S. Heaven i M. Saravanan. "Image Enhancement based on Nonsubsampled Contourlet Transform using Matrix Factorization Techniques". International Journal of Computer Applications 123, nr 6 (18.08.2015): 35–38. http://dx.doi.org/10.5120/ijca2015905372.
Pełny tekst źródłaMa, Wenming, Rongjie Shan i Mingming Qi. "General Collaborative Filtering for Web Service QoS Prediction". Mathematical Problems in Engineering 2018 (3.12.2018): 1–18. http://dx.doi.org/10.1155/2018/5787406.
Pełny tekst źródłaWu, Qing, Jie Wang, Jin Fan, Gang Xu, Jia Wu, Blake Johnson, Xingfei Li, Quan Do i Ruiquan Ge. "Improved Coupled Tensor Factorization with Its Applications in Health Data Analysis". Complexity 2019 (5.02.2019): 1–16. http://dx.doi.org/10.1155/2019/1574240.
Pełny tekst źródłaPorteous, Ian, Arthur Asuncion i Max Welling. "Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures". Proceedings of the AAAI Conference on Artificial Intelligence 24, nr 1 (3.07.2010): 563–68. http://dx.doi.org/10.1609/aaai.v24i1.7686.
Pełny tekst źródłaShi, Zihui, i Yaoning Ge. "CMF-SMR: Convolutional matrix factorization for sequential movie recommendations". Applied and Computational Engineering 14, nr 1 (23.10.2023): 86–95. http://dx.doi.org/10.54254/2755-2721/14/20230769.
Pełny tekst źródłaLin, Chuang, i 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.
Pełny tekst źródłaHurd, R. A., i E. Lüneburg. "Diffraction by an anisotropic impedance half plane". Canadian Journal of Physics 63, nr 9 (1.09.1985): 1135–40. http://dx.doi.org/10.1139/p85-185.
Pełny tekst źródłaTokala, Srilatha, Murali Krishna Enduri, T. Jaya Lakshmi i Hemlata Sharma. "Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations". Entropy 25, nr 9 (20.09.2023): 1360. http://dx.doi.org/10.3390/e25091360.
Pełny tekst źródłaGomathy, 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, nr 11 (30.11.2021): 635–38. http://dx.doi.org/10.22214/ijraset.2021.38844.
Pełny tekst źródłaEhrhardt, Torsten, i Frank-Olme Speck. "Transformation techniques towards the factorization of non-rational 2×2 matrix functions". Linear Algebra and its Applications 353, nr 1-3 (wrzesień 2002): 53–90. http://dx.doi.org/10.1016/s0024-3795(02)00288-4.
Pełny tekst źródłaHuang, Yan, Guisheng Liao, Zhen Zhang, Yijian Xiang, Jie Li i Arye Nehorai. "Fast Narrowband RFI Suppression Algorithms for SAR Systems via Matrix-Factorization Techniques". IEEE Transactions on Geoscience and Remote Sensing 57, nr 1 (styczeń 2019): 250–62. http://dx.doi.org/10.1109/tgrs.2018.2853556.
Pełny tekst źródłaZhang, Zhijun, i Hong Liu. "Application and Research of Improved Probability Matrix Factorization Techniques in Collaborative Filtering". International Journal of Control and Automation 7, nr 8 (31.08.2014): 79–92. http://dx.doi.org/10.14257/ijca.2014.7.8.08.
Pełny tekst źródłaZheng, Xiaoyao, Yonglong Luo, Liping Sun i Fulong Chen. "A New Recommender System Using Context Clustering Based on Matrix Factorization Techniques". Chinese Journal of Electronics 25, nr 2 (1.03.2016): 334–40. http://dx.doi.org/10.1049/cje.2016.03.021.
Pełny tekst źródłaFernsel, Pascal. "Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization". Journal of Imaging 7, nr 10 (28.09.2021): 194. http://dx.doi.org/10.3390/jimaging7100194.
Pełny tekst źródłaSethuraman, Ram, i Akshay Havalgi. "Novel Approach of Neural Collaborative Filter by Pairwise Objective Function with Matrix Factorization". International Journal of Engineering & Technology 7, nr 3.12 (20.07.2018): 1213. http://dx.doi.org/10.14419/ijet.v7i3.12.17840.
Pełny tekst źródłaYousefi, Bardia, Hamed Akbari, Michelle Hershman, Satoru Kawakita, Henrique C. Fernandes, Clemente Ibarra-Castanedo, Samad Ahadian i 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, nr 7 (5.04.2021): 3248. http://dx.doi.org/10.3390/app11073248.
Pełny tekst źródłaXu, Yunxia, Linzhang Lu, Qilong Liu i Zhen Chen. "Hypergraph-Regularized Lp Smooth Nonnegative Matrix Factorization for Data Representation". Mathematics 11, nr 13 (23.06.2023): 2821. http://dx.doi.org/10.3390/math11132821.
Pełny tekst źródłaDai, Wen, Xi Liu, Yibo Gao, Lin Chen, Jianglong Song, Di Chen, Kuo Gao i in. "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.
Pełny tekst źródłaMa, Xiaoxuan, Zhiwen Li i Hengyou Wang. "Deep Matrix Factorization Based on Convolutional Neural Networks for Image Inpainting". Entropy 24, nr 10 (20.10.2022): 1500. http://dx.doi.org/10.3390/e24101500.
Pełny tekst źródłaSompairac, Nicolas, Petr V. Nazarov, Urszula Czerwinska, Laura Cantini, Anne Biton, Askhat Molkenov, Zhaxybay Zhumadilov i in. "Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets". International Journal of Molecular Sciences 20, nr 18 (7.09.2019): 4414. http://dx.doi.org/10.3390/ijms20184414.
Pełny tekst źródłaAlshammari, Aadil, i Mohammed Alshammari. "A Recommendation Engine Model for Giant Social Media Platforms using a Probabilistic Approach". Engineering, Technology & Applied Science Research 13, nr 5 (13.10.2023): 11904–10. http://dx.doi.org/10.48084/etasr.6325.
Pełny tekst źródłaNourani, Esmaeil, Farshad Khunjush i F. Erdoğan Sevilgen. "Virus–human protein–protein interaction prediction using Bayesian matrix factorization and projection techniques". Biocybernetics and Biomedical Engineering 38, nr 3 (2018): 574–85. http://dx.doi.org/10.1016/j.bbe.2018.04.006.
Pełny tekst źródłaHarrison, Brent, i 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, nr 5 (30.06.2021): 61–66. http://dx.doi.org/10.1609/aiide.v8i5.12574.
Pełny tekst źródłaCasalino, Gabriella, Ciro Castiello, Nicoletta Del Buono i Corrado Mencar. "A framework for intelligent Twitter data analysis with non-negative matrix factorization". International Journal of Web Information Systems 14, nr 3 (20.08.2018): 334–56. http://dx.doi.org/10.1108/ijwis-11-2017-0081.
Pełny tekst źródłaWu, Hsiao-Chun, Shih Yu Chang, Tho Le-Ngoc i 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.
Pełny tekst źródłaSingh, Bharat, i 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, nr 3 (lipiec 2016): 55–70. http://dx.doi.org/10.4018/ijssmet.2016070104.
Pełny tekst źródłaQian, Bin, Lei Tong, Zhenmin Tang i Xiaobo Shen. "Nonnegative matrix factorization with region sparsity learning for hyperspectral unmixing". International Journal of Wavelets, Multiresolution and Information Processing 15, nr 06 (listopad 2017): 1750063. http://dx.doi.org/10.1142/s0219691317500631.
Pełny tekst źródłaAgrawal, Pallavi, i 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 (29.06.2018): 15–22. http://dx.doi.org/10.26636/jtit.2018.122617.
Pełny tekst źródłaCai, Weihong, Xin Du i Jianlong Xu. "A Personalized QoS Prediction Method for Web Services via Blockchain-Based Matrix Factorization". Sensors 19, nr 12 (19.06.2019): 2749. http://dx.doi.org/10.3390/s19122749.
Pełny tekst źródłaJiang, Xiaoyu, i 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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