52 citations to 10.1007/s10208-004-0158-6 (Crossref Cited-By Service)
  1. Hong Chen, Luoqing Li, Jiangtao Peng, “Semi-supervised learning based on high density region estimation”, Neural Networks, 23, no. 7, 2010, 812  crossref
  2. Nathan Powell, Andrew J. Kurdila, “Distribution-free learning theory for approximating submanifolds from reptile motion capture data”, Comput Mech, 68, no. 2, 2021, 337  crossref
  3. Jason Miller, Sui Tang, Ming Zhong, Mauro Maggioni, “Learning theory for inferring interaction kernels in second-order interacting agent systems”, Sampl. Theory Signal Process. Data Anal., 21, no. 1, 2023, 21  crossref
  4. Junke Kou, Hao Zhang, “Partial Derivatives Estimation of Multivariate Variance Function in Heteroscedastic Model via Wavelet Method”, Axioms, 13, no. 1, 2024, 69  crossref
  5. Parag Bobade, Suprotim Majumdar, Savio Pereira, Andrew J. Kurdila, John B. Ferris, “Adaptive estimation for nonlinear systems using reproducing kernel Hilbert spaces”, Adv Comput Math, 45, no. 2, 2019, 869  crossref
  6. Rui Li, Youming Liu, “Wavelet optimal estimations for a density with some additive noises”, Applied and Computational Harmonic Analysis, 36, no. 3, 2014, 416  crossref
  7. Shaobo Lin, Jinshan Zeng, “Fast Learning With Polynomial Kernels”, IEEE Trans. Cybern., 49, no. 10, 2019, 3780  crossref
  8. Zhanjie Song, Peixin Ye, “Greedy algorithm in m-term approximation for periodic Besov class with mixed smoothness”, Trans. Tianjin Univ., 15, no. 1, 2009, 75  crossref
  9. Boris Darkhovskiy, “Non Asymptotic Minimax Estimation of Functionals with Noisy Observations”, Communications in Statistics - Simulation and Computation, 41, no. 6, 2012, 787  crossref
  10. Abhishake Rastogi, Gilles Blanchard, Peter Mathé, “Convergence analysis of Tikhonov regularization for non-linear statistical inverse problems”, Electron. J. Statist., 14, no. 2, 2020  crossref
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