191 related articles for article (PubMed ID: 31071054)
1. Stability-Based Generalization Analysis of Distributed Learning Algorithms for Big Data.
Wu X; Zhang J; Wang FY
IEEE Trans Neural Netw Learn Syst; 2020 Mar; 31(3):801-812. PubMed ID: 31071054
[TBL] [Abstract][Full Text] [Related]
2. Learning Performance of Weighted Distributed Learning With Support Vector Machines.
Zou B; Jiang H; Xu C; Xu J; You X; Tang YY
IEEE Trans Cybern; 2023 Jul; 53(7):4630-4641. PubMed ID: 34919528
[TBL] [Abstract][Full Text] [Related]
3. Kernel Stability for Model Selection in Kernel-Based Algorithms.
Liu Y; Liao S; Zhang H; Ren W; Wang W
IEEE Trans Cybern; 2021 Dec; 51(12):5647-5658. PubMed ID: 31283520
[TBL] [Abstract][Full Text] [Related]
4. Generalization Bounds for Coregularized Multiple Kernel Learning.
Wu X; Hu G
Comput Intell Neurosci; 2018; 2018():1853517. PubMed ID: 30515195
[TBL] [Abstract][Full Text] [Related]
5. Algorithmic stability and sanity-check bounds for leave-one-out cross-validation.
Kearns M; Ron D
Neural Comput; 1999 Aug; 11(6):1427-53. PubMed ID: 10423502
[TBL] [Abstract][Full Text] [Related]
6. Information-Theoretic Generalization Bounds for Meta-Learning and Applications.
Jose ST; Simeone O
Entropy (Basel); 2021 Jan; 23(1):. PubMed ID: 33478002
[TBL] [Abstract][Full Text] [Related]
7. Improved Information-Theoretic Generalization Bounds for Distributed, Federated, and Iterative Learning.
Barnes LP; Dytso A; Poor HV
Entropy (Basel); 2022 Aug; 24(9):. PubMed ID: 36141064
[TBL] [Abstract][Full Text] [Related]
8. Algorithm-Dependent Generalization Bounds for Multi-Task Learning.
Liu T; Tao D; Song M; Maybank SJ
IEEE Trans Pattern Anal Mach Intell; 2017 Feb; 39(2):227-241. PubMed ID: 27019472
[TBL] [Abstract][Full Text] [Related]
9. Using unsupervised analysis to constrain generalization bounds for support vector classifiers.
Decherchi S; Ridella S; Zunino R; Gastaldo P; Anguita D
IEEE Trans Neural Netw; 2010 Mar; 21(3):424-38. PubMed ID: 20123572
[TBL] [Abstract][Full Text] [Related]
10. Generalization bounds of ERM-based learning processes for continuous-time Markov chains.
Zhang C; Tao D
IEEE Trans Neural Netw Learn Syst; 2012 Dec; 23(12):1872-83. PubMed ID: 24808143
[TBL] [Abstract][Full Text] [Related]
11. Improving generalization performance of natural gradient learning using optimized regularization by NIC.
Park H; Murata N; Amari S
Neural Comput; 2004 Feb; 16(2):355-82. PubMed ID: 15006100
[TBL] [Abstract][Full Text] [Related]
12. The generalization performance of regularized regression algorithms based on Markov sampling.
Zou B; Tang YY; Xu Z; Li L; Xu J; Lu Y
IEEE Trans Cybern; 2014 Sep; 44(9):1497-507. PubMed ID: 24184794
[TBL] [Abstract][Full Text] [Related]
13. Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery.
Feng Y; Lv SG; Hang H; Suykens JA
Neural Comput; 2016 Mar; 28(3):525-62. PubMed ID: 26735744
[TBL] [Abstract][Full Text] [Related]
14. Learning With Coefficient-Based Regularized Regression on Markov Resampling.
Li L; Li W; Zou B; Wang Y; Tang YY; Han H
IEEE Trans Neural Netw Learn Syst; 2018 Sep; 29(9):4166-4176. PubMed ID: 29990029
[TBL] [Abstract][Full Text] [Related]
15. Guaranteed classification via regularized similarity learning.
Guo ZC; Ying Y
Neural Comput; 2014 Mar; 26(3):497-522. PubMed ID: 24320848
[TBL] [Abstract][Full Text] [Related]
16. Pair- ${v}$ -SVR: A Novel and Efficient Pairing nu-Support Vector Regression Algorithm.
Hao PY
IEEE Trans Neural Netw Learn Syst; 2017 Nov; 28(11):2503-2515. PubMed ID: 27542185
[TBL] [Abstract][Full Text] [Related]
17. Sparse multinomial logistic regression: fast algorithms and generalization bounds.
Krishnapuram B; Carin L; Figueiredo MA; Hartemink AJ
IEEE Trans Pattern Anal Mach Intell; 2005 Jun; 27(6):957-68. PubMed ID: 15943426
[TBL] [Abstract][Full Text] [Related]
18. An Optimal Transport Analysis on Generalization in Deep Learning.
Zhang J; Liu T; Tao D
IEEE Trans Neural Netw Learn Syst; 2023 Jun; 34(6):2842-2853. PubMed ID: 34554918
[TBL] [Abstract][Full Text] [Related]
19. Parameter convergence and learning curves for neural networks.
Fine TL; Mukherjee S
Neural Comput; 1999 Apr; 11(3):747-70. PubMed ID: 10085428
[TBL] [Abstract][Full Text] [Related]
20. A distributed semi-supervised learning algorithm based on manifold regularization using wavelet neural network.
Xie J; Liu S; Dai H
Neural Netw; 2019 Oct; 118():300-309. PubMed ID: 31330270
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
