98 related articles for article (PubMed ID: 28534790)
1. Neighborhood-Based Stopping Criterion for Contrastive Divergence.
Romero Merino E; Mazzanti Castrillejo F; Delgado Pin J
IEEE Trans Neural Netw Learn Syst; 2018 Jul; 29(7):2695-2704. PubMed ID: 28534790
[TBL] [Abstract][Full Text] [Related]
2. Justifying and generalizing contrastive divergence.
Bengio Y; Delalleau O
Neural Comput; 2009 Jun; 21(6):1601-21. PubMed ID: 19018704
[TBL] [Abstract][Full Text] [Related]
3. Accelerating deep learning with memcomputing.
Manukian H; Traversa FL; Di Ventra M
Neural Netw; 2019 Feb; 110():1-7. PubMed ID: 30458316
[TBL] [Abstract][Full Text] [Related]
4. Nonequilibrium thermodynamics of restricted Boltzmann machines.
Salazar DSP
Phys Rev E; 2017 Aug; 96(2-1):022131. PubMed ID: 28950614
[TBL] [Abstract][Full Text] [Related]
5. Accelerate Training of Restricted Boltzmann Machines via Iterative Conditional Maximum Likelihood Estimation.
Wu M; Luo Y; Liang F
Stat Interface; 2019; 12(3):377-385. PubMed ID: 33859774
[TBL] [Abstract][Full Text] [Related]
6. Weighted contrastive divergence.
Romero E; Mazzanti F; Delgado J; Buchaca D
Neural Netw; 2019 Jun; 114():147-156. PubMed ID: 30921746
[TBL] [Abstract][Full Text] [Related]
7. Bounding the bias of contrastive divergence learning.
Fischer A; Igel C
Neural Comput; 2011 Mar; 23(3):664-73. PubMed ID: 21162669
[TBL] [Abstract][Full Text] [Related]
8. Dynamical analysis of contrastive divergence learning: Restricted Boltzmann machines with Gaussian visible units.
Karakida R; Okada M; Amari S
Neural Netw; 2016 Jul; 79():78-87. PubMed ID: 27131468
[TBL] [Abstract][Full Text] [Related]
9. Restricted Boltzmann Machines With Gaussian Visible Units Guided by Pairwise Constraints.
Chu J; Wang H; Meng H; Jin P; Li T
IEEE Trans Cybern; 2019 Dec; 49(12):4321-4334. PubMed ID: 30137021
[TBL] [Abstract][Full Text] [Related]
10. LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine.
Ning L; Pittman R; Shen X
Neural Netw; 2018 Dec; 108():399-410. PubMed ID: 30273844
[TBL] [Abstract][Full Text] [Related]
11. Learning Gaussian-Bernoulli RBMs Using Difference of Convex Functions Optimization.
Upadhya V; Sastry PS
IEEE Trans Neural Netw Learn Syst; 2022 Oct; 33(10):5728-5738. PubMed ID: 33857001
[TBL] [Abstract][Full Text] [Related]
12. Where do features come from?
Hinton G
Cogn Sci; 2014 Aug; 38(6):1078-101. PubMed ID: 23800216
[TBL] [Abstract][Full Text] [Related]
13. The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space Coding.
Testolin A; De Filippo De Grazia M; Zorzi M
Front Comput Neurosci; 2017; 11():13. PubMed ID: 28377709
[TBL] [Abstract][Full Text] [Related]
14. Representational power of restricted boltzmann machines and deep belief networks.
Le Roux N; Bengio Y
Neural Comput; 2008 Jun; 20(6):1631-49. PubMed ID: 18254699
[TBL] [Abstract][Full Text] [Related]
15. Adaptive hyperparameter updating for training restricted Boltzmann machines on quantum annealers.
Xu G; Oates WS
Sci Rep; 2021 Feb; 11(1):2727. PubMed ID: 33526868
[TBL] [Abstract][Full Text] [Related]
16. Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines.
van Tulder G; de Bruijne M
IEEE Trans Med Imaging; 2016 May; 35(5):1262-1272. PubMed ID: 26886968
[TBL] [Abstract][Full Text] [Related]
17. Mode-assisted joint training of deep Boltzmann machines.
Manukian H; Di Ventra M
Sci Rep; 2021 Sep; 11(1):19000. PubMed ID: 34561505
[TBL] [Abstract][Full Text] [Related]
18. An efficient learning procedure for deep Boltzmann machines.
Salakhutdinov R; Hinton G
Neural Comput; 2012 Aug; 24(8):1967-2006. PubMed ID: 22509963
[TBL] [Abstract][Full Text] [Related]
19. Expected energy-based restricted Boltzmann machine for classification.
Elfwing S; Uchibe E; Doya K
Neural Netw; 2015 Apr; 64():29-38. PubMed ID: 25318375
[TBL] [Abstract][Full Text] [Related]
20. Enhanced gradient for training restricted Boltzmann machines.
Cho K; Raiko T; Ilin A
Neural Comput; 2013 Mar; 25(3):805-31. PubMed ID: 23148412
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
