Artigos de revistas sobre o tema "Approximation de Nyström"
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Ding, Lizhong, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao e Xin Gao. "Approximate Kernel Selection with Strong Approximate Consistency". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julho de 2019): 3462–69. http://dx.doi.org/10.1609/aaai.v33i01.33013462.
Texto completo da fonteWang, Ling, Hongqiao Wang e Guangyuan Fu. "Multi-Nyström Method Based on Multiple Kernel Learning for Large Scale Imbalanced Classification". Computational Intelligence and Neuroscience 2021 (13 de junho de 2021): 1–11. http://dx.doi.org/10.1155/2021/9911871.
Texto completo da fonteZhang, Kai, e James T. Kwok. "Density-Weighted Nyström Method for Computing Large Kernel Eigensystems". Neural Computation 21, n.º 1 (janeiro de 2009): 121–46. http://dx.doi.org/10.1162/neco.2009.11-07-651.
Texto completo da fonteDíaz de Alba, Patricia, Luisa Fermo e Giuseppe Rodriguez. "Solution of second kind Fredholm integral equations by means of Gauss and anti-Gauss quadrature rules". Numerische Mathematik 146, n.º 4 (18 de novembro de 2020): 699–728. http://dx.doi.org/10.1007/s00211-020-01163-7.
Texto completo da fonteRudi, Alessandro, Leonard Wossnig, Carlo Ciliberto, Andrea Rocchetto, Massimiliano Pontil e Simone Severini. "Approximating Hamiltonian dynamics with the Nyström method". Quantum 4 (20 de fevereiro de 2020): 234. http://dx.doi.org/10.22331/q-2020-02-20-234.
Texto completo da fonteTrokicić, Aleksandar, e Branimir Todorović. "Constrained spectral clustering via multi–layer graph embeddings on a grassmann manifold". International Journal of Applied Mathematics and Computer Science 29, n.º 1 (1 de março de 2019): 125–37. http://dx.doi.org/10.2478/amcs-2019-0010.
Texto completo da fonteCai, Difeng, e Panayot S. Vassilevski. "Eigenvalue Problems for Exponential-Type Kernels". Computational Methods in Applied Mathematics 20, n.º 1 (1 de janeiro de 2020): 61–78. http://dx.doi.org/10.1515/cmam-2018-0186.
Texto completo da fonteHe, Li, e Hong Zhang. "Kernel K-Means Sampling for Nyström Approximation". IEEE Transactions on Image Processing 27, n.º 5 (maio de 2018): 2108–20. http://dx.doi.org/10.1109/tip.2018.2796860.
Texto completo da fonteWang, Shiyuan, Lujuan Dang, Guobing Qian e Yunxiang Jiang. "Kernel recursive maximum correntropy with Nyström approximation". Neurocomputing 329 (fevereiro de 2019): 424–32. http://dx.doi.org/10.1016/j.neucom.2018.10.064.
Texto completo da fonteLaguardia, Anna Lucia, e Maria Grazia Russo. "A Nyström Method for 2D Linear Fredholm Integral Equations on Curvilinear Domains". Mathematics 11, n.º 23 (3 de dezembro de 2023): 4859. http://dx.doi.org/10.3390/math11234859.
Texto completo da fonteBaker, T. S., J. R. Dormand e P. J. Prince. "Continuous approximation with embedded Runge-Kutta-Nyström methods". Applied Numerical Mathematics 29, n.º 2 (fevereiro de 1999): 171–88. http://dx.doi.org/10.1016/s0168-9274(98)00065-8.
Texto completo da fonteAllouch, C., M. Arrai, H. Bouda e M. Tahrichi. "Legendre superconvergent degenerate kernel and Nyström methods for nonlinear integral equations". Ukrains’kyi Matematychnyi Zhurnal 75, n.º 5 (24 de maio de 2023): 579–95. http://dx.doi.org/10.37863/umzh.v75i5.7039.
Texto completo da fonteDidenko, Victor D., e Johan Heising. "Features of the Nyström Method for the Sherman-Lauricella Equation on Piecewise Smooth Contours". East Asian Journal on Applied Mathematics 1, n.º 4 (novembro de 2011): 403–14. http://dx.doi.org/10.4208/eajam.240611.070811a.
Texto completo da fonteZhu, Changming, e Daqi Gao. "Improved multi-kernel classification machine with Nyström approximation technique". Pattern Recognition 48, n.º 4 (abril de 2015): 1490–509. http://dx.doi.org/10.1016/j.patcog.2014.10.029.
Texto completo da fonteLin, Ming, Fei Wang e Changshui Zhang. "Large-scale eigenvector approximation via Hilbert Space Embedding Nyström". Pattern Recognition 48, n.º 5 (maio de 2015): 1904–12. http://dx.doi.org/10.1016/j.patcog.2014.11.017.
Texto completo da fonteMu Li, Wei Bi, James T. Kwok e Bao-Liang Lu. "Large-Scale Nyström Kernel Matrix Approximation Using Randomized SVD". IEEE Transactions on Neural Networks and Learning Systems 26, n.º 1 (janeiro de 2015): 152–64. http://dx.doi.org/10.1109/tnnls.2014.2359798.
Texto completo da fonteLiu, Guohong, Hong Chen, Xiaoying Sun e Robert C. Qiu. "Modified MUSIC Algorithm for DOA Estimation With Nyström Approximation". IEEE Sensors Journal 16, n.º 12 (junho de 2016): 4673–74. http://dx.doi.org/10.1109/jsen.2016.2557488.
Texto completo da fonteWang, Zhe, Songcan Chen e Daqi Gao. "A novel multi-view classifier based on Nyström approximation". Expert Systems with Applications 38, n.º 9 (setembro de 2011): 11193–200. http://dx.doi.org/10.1016/j.eswa.2011.02.166.
Texto completo da fonteMezzanotte, Domenico, Donatella Occorsio e Maria Grazia Russo. "Combining Nyström Methods for a Fast Solution of Fredholm Integral Equations of the Second Kind". Mathematics 9, n.º 21 (20 de outubro de 2021): 2652. http://dx.doi.org/10.3390/math9212652.
Texto completo da fonteMartinsson, Per-Gunnar, e Joel A. Tropp. "Randomized numerical linear algebra: Foundations and algorithms". Acta Numerica 29 (maio de 2020): 403–572. http://dx.doi.org/10.1017/s0962492920000021.
Texto completo da fonteKulkarni, Rekha P., e Gobinda Rakshit. "DISCRETE MODIFIED PROJECTION METHODS FOR URYSOHN INTEGRAL EQUATIONS WITH GREEN’S FUNCTION TYPE KERNELS". Mathematical Modelling and Analysis 25, n.º 3 (13 de maio de 2020): 421–40. http://dx.doi.org/10.3846/mma.2020.11093.
Texto completo da fontePourkamali-Anaraki, Farhad. "Scalable Spectral Clustering With Nyström Approximation: Practical and Theoretical Aspects". IEEE Open Journal of Signal Processing 1 (2020): 242–56. http://dx.doi.org/10.1109/ojsp.2020.3039330.
Texto completo da fonteLi, Jinfeng, Weifeng Liu, Yicong Zhou, Jun Yu, Dapeng Tao e Changsheng Xu. "Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation". ACM Transactions on Multimedia Computing, Communications, and Applications 18, n.º 3 (31 de agosto de 2022): 1–18. http://dx.doi.org/10.1145/3487194.
Texto completo da fonteChang, Lo-Bin, Zhidong Bai, Su-Yun Huang e Chii-Ruey Hwang. "Asymptotic error bounds for kernel-based Nyström low-rank approximation matrices". Journal of Multivariate Analysis 120 (setembro de 2013): 102–19. http://dx.doi.org/10.1016/j.jmva.2013.05.006.
Texto completo da fonteRedner, Oliver. "DISCRETE APPROXIMATION OF NON-COMPACT OPERATORS DESCRIBING CONTINUUM-OF-ALLELES MODELS". Proceedings of the Edinburgh Mathematical Society 47, n.º 2 (junho de 2004): 449–72. http://dx.doi.org/10.1017/s0013091503000476.
Texto completo da fonteKulkarni, Rekha P., e Akshay S. Rane. "ASYMPTOTIC EXPANSIONS FOR APPROXIMATE SOLUTIONS OF HAMMERSTEIN INTEGRAL EQUATIONS WITH GREEN'S FUNCTION TYPE KERNELS". Mathematical Modelling and Analysis 19, n.º 1 (20 de fevereiro de 2014): 127–43. http://dx.doi.org/10.3846/13926292.2014.893457.
Texto completo da fonteZhu, Changming. "Improved multi-kernel classification machine with Nyström approximation technique and Universum data". Neurocomputing 175 (janeiro de 2016): 610–34. http://dx.doi.org/10.1016/j.neucom.2015.10.102.
Texto completo da fontePourkamali-Anaraki, Farhad, e Stephen Becker. "Improved fixed-rank Nyström approximation via QR decomposition: Practical and theoretical aspects". Neurocomputing 363 (outubro de 2019): 261–72. http://dx.doi.org/10.1016/j.neucom.2019.06.070.
Texto completo da fonteAirola, Antti, Tapio Pahikkala e Tapio Salakoski. "On Learning and Cross-Validation with Decomposed Nyström Approximation of Kernel Matrix". Neural Processing Letters 33, n.º 1 (1 de dezembro de 2010): 17–30. http://dx.doi.org/10.1007/s11063-010-9159-4.
Texto completo da fonteChen, Kai, Rongchun Li, Yong Dou, Zhengfa Liang e Qi Lv. "Ranking Support Vector Machine with Kernel Approximation". Computational Intelligence and Neuroscience 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/4629534.
Texto completo da fonteGISBRECHT, ANDREJ, BASSAM MOKBEL, FRANK-MICHAEL SCHLEIF, XIBIN ZHU e BARBARA HAMMER. "LINEAR TIME RELATIONAL PROTOTYPE BASED LEARNING". International Journal of Neural Systems 22, n.º 05 (26 de setembro de 2012): 1250021. http://dx.doi.org/10.1142/s0129065712500219.
Texto completo da fonteWang, Yongguang, Shuzhen Yao e Tian Xu. "Incremental Kernel Principal Components Subspace Inference With Nyström Approximation for Bayesian Deep Learning". IEEE Access 9 (2021): 36241–51. http://dx.doi.org/10.1109/access.2021.3062747.
Texto completo da fonteTrokicic, Aleksandar, e Branimir Todorovic. "On expected error of randomized Nyström kernel regression". Filomat 34, n.º 11 (2020): 3871–84. http://dx.doi.org/10.2298/fil2011871t.
Texto completo da fonteZhao, Lin, e Alex Barnett. "Robust and Efficient Solution of the Drum Problem via Nyström Approximation of the Fredholm Determinant". SIAM Journal on Numerical Analysis 53, n.º 4 (janeiro de 2015): 1984–2007. http://dx.doi.org/10.1137/140973992.
Texto completo da fonteWang, Jianzhong. "Mathematical analysis on out-of-sample extensions". International Journal of Wavelets, Multiresolution and Information Processing 16, n.º 05 (setembro de 2018): 1850042. http://dx.doi.org/10.1142/s021969131850042x.
Texto completo da fonteGarcía García, Juan F., e Salvador E. Venegas-Andraca. "Region-based approach for the spectral clustering Nyström approximation with an application to burn depth assessment". Machine Vision and Applications 26, n.º 2-3 (3 de março de 2015): 353–68. http://dx.doi.org/10.1007/s00138-015-0664-3.
Texto completo da fonteDu, Ke-Lin, M. N. S. Swamy, Zhang-Quan Wang e Wai Ho Mow. "Matrix Factorization Techniques in Machine Learning, Signal Processing, and Statistics". Mathematics 11, n.º 12 (12 de junho de 2023): 2674. http://dx.doi.org/10.3390/math11122674.
Texto completo da fonteAjinuhi, Joel Olusegun, Umaru Mohammed, Abdullah Idris Enagi e Jimoh Omananyi Razaq. "A Novel Seventh-Order Implicit Block Hybrid Nyström-Type Method for Second- Order Boundary Value Problems". International Journal of Research and Scientific Innovation X, n.º XI (2023): 26–44. http://dx.doi.org/10.51244/ijrsi.2023.1011003.
Texto completo da fonteHu, Jurong, Evans Baidoo, Lei Zhan e Ying Tian. "Computationally Efficient Compressed Sensing-Based Method via FG Nyström in Bistatic MIMO Radar with Array Gain-Phase Error Effect". International Journal of Antennas and Propagation 2020 (10 de março de 2020): 1–12. http://dx.doi.org/10.1155/2020/1586353.
Texto completo da fonteZhao, Yang, Yuan Yuan e Qi Wang. "Fast Spectral Clustering for Unsupervised Hyperspectral Image Classification". Remote Sensing 11, n.º 4 (15 de fevereiro de 2019): 399. http://dx.doi.org/10.3390/rs11040399.
Texto completo da fonteRubinstein, Yanir A., Gang Tian e Kewei Zhang. "Basis divisors and balanced metrics". Journal für die reine und angewandte Mathematik (Crelles Journal) 2021, n.º 778 (29 de abril de 2021): 171–218. http://dx.doi.org/10.1515/crelle-2021-0017.
Texto completo da fonteBounaya, Mohammed Charif, Samir Lemita, Sami Touati e Mohamed Zine Aissaoui. "Analytical and numerical approach for a nonlinear Volterra-Fredholm integro-differential equation". Boletim da Sociedade Paranaense de Matemática 41 (21 de dezembro de 2022): 1–14. http://dx.doi.org/10.5269/bspm.52191.
Texto completo da fonteAdams, M., J. Finden, P. Phoncharon e P. H. Muir. "Superconvergent interpolants for Gaussian collocation solutions of mixed order BVODE systems". AIMS Mathematics 7, n.º 4 (2022): 5634–61. http://dx.doi.org/10.3934/math.2022312.
Texto completo da fonteВорожцов, Е. В., e С. П. Киселев. "Explicit higher-order schemes for molecular dynamics problems". Numerical Methods and Programming (Vychislitel'nye Metody i Programmirovanie), n.º 2 (12 de maio de 2021): 87–108. http://dx.doi.org/10.26089/nummet.v22r207.
Texto completo da fonteRamos, Higinio, Mufutau Ajani Rufai e Bruno Carpentieri. "A Pair of Optimized Nyström Methods with Symmetric Hybrid Points for the Numerical Solution of Second-Order Singular Boundary Value Problems". Symmetry 15, n.º 9 (7 de setembro de 2023): 1720. http://dx.doi.org/10.3390/sym15091720.
Texto completo da fonteRay, Archan, Nicholas Monath, Andrew McCallum e Cameron Musco. "Sublinear Time Approximation of Text Similarity Matrices". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 7 (28 de junho de 2022): 8072–80. http://dx.doi.org/10.1609/aaai.v36i7.20779.
Texto completo da fontePatil, Shailaja, e Mukesh Zaveri. "Localization in Sensor Network With Nystrom Approximation". International Journal of Wireless & Mobile Networks 3, n.º 5 (30 de outubro de 2011): 37–48. http://dx.doi.org/10.5121/ijwmn.2011.3504.
Texto completo da fonteWang, Zhe, Wenbo Jie e Daqi Gao. "A novel multiple Nyström-approximating kernel discriminant analysis". Neurocomputing 119 (novembro de 2013): 385–98. http://dx.doi.org/10.1016/j.neucom.2013.03.019.
Texto completo da fonteXiong, Yunyang, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li e Vikas Singh. "Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 16 (18 de maio de 2021): 14138–48. http://dx.doi.org/10.1609/aaai.v35i16.17664.
Texto completo da fonteXia, Jianlin. "Making the Nyström Method Highly Accurate for Low-Rank Approximations". SIAM Journal on Scientific Computing 46, n.º 2 (29 de março de 2024): A1076—A1101. http://dx.doi.org/10.1137/23m1585039.
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