George Kapetanios, Andrew P. Blake, “TESTS OF THE MARTINGALE DIFFERENCE HYPOTHESIS USING BOOSTING AND RBF NEURAL NETWORK APPROXIMATIONS”, Econom. Theory, 26, № 5, 2010, 1363
Rakib Al-Fahad, Mohammed Yeasin, A S M Iftekhar Anam, Bahareh Elahian, 2017 International Joint Conference on Neural Networks (IJCNN), 2017, 1202
Vladimir V. Galatenko, Taras P. Lukashenko, Victor A. Sadovnichiy, Modern Mathematics and Mechanics, 2019, 3
Enrico Capobianco, “Kernel methods and flexible inference for complex stochastic dynamics”, Physica A: Statistical Mechanics and its Applications, 387, № 16-17, 2008, 4077
Lin Xu, Xiangyong Cao, Jing Yao, Zheng Yan, “Orthogonal Super Greedy Learning for Sparse Feedforward Neural Networks”, IEEE Trans. Netw. Sci. Eng., 9, № 1, 2022, 161
Yuanbo Li, Ngai Hang Chan, Chun Yip Yau, Rongmao Zhang, “Group orthogonal greedy algorithm for change-point estimation of multivariate time series”, Journal of Statistical Planning and Inference, 212, 2021, 14
V. N. Temlyakov, “Greedy Approximation in Convex Optimization”, Constr Approx, 41, № 2, 2015, 269
Peter Oswald, “Greedy algorithms and bestm-term approximation with respect to biorthogonal systems”, The Journal of Fourier Analysis and Applications, 7, № 4, 2001, 325
A. S. Orlova, “The rate of convergence of weak greedy approximations over orthogonal dictionaries”, Moscow Univ. Math. Bull., 72, № 2, 2017, 84
Rémi Gribonval, Time‐Frequency Analysis, 2008, 61