290 related articles for article (PubMed ID: 22784924)
1. On the equivalence of Hopfield networks and Boltzmann Machines.
Barra A; Bernacchia A; Santucci E; Contucci P
Neural Netw; 2012 Oct; 34():1-9. PubMed ID: 22784924
[TBL] [Abstract][Full Text] [Related]
2. Where do features come from?
Hinton G
Cogn Sci; 2014 Aug; 38(6):1078-101. PubMed ID: 23800216
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. On the effective initialisation for restricted Boltzmann machines via duality with Hopfield model.
Leonelli FE; Agliari E; Albanese L; Barra A
Neural Netw; 2021 Nov; 143():314-326. PubMed ID: 34175807
[TBL] [Abstract][Full Text] [Related]
5. Learning Orthographic Structure With Sequential Generative Neural Networks.
Testolin A; Stoianov I; Sperduti A; Zorzi M
Cogn Sci; 2016 Apr; 40(3):579-606. PubMed ID: 26073971
[TBL] [Abstract][Full Text] [Related]
6. Parallel retrieval of correlated patterns: from Hopfield networks to Boltzmann machines.
Agliari E; Barra A; De Antoni A; Galluzzi A
Neural Netw; 2013 Feb; 38():52-63. PubMed ID: 23246601
[TBL] [Abstract][Full Text] [Related]
7. Boltzmann Machines as Generalized Hopfield Networks: A Review of Recent Results and Outlooks.
Marullo C; Agliari E
Entropy (Basel); 2020 Dec; 23(1):. PubMed ID: 33383716
[TBL] [Abstract][Full Text] [Related]
8. Measuring the usefulness of hidden units in Boltzmann machines with mutual information.
Berglund M; Raiko T; Cho K
Neural Netw; 2015 Apr; 64():12-8. PubMed ID: 25318376
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Network inference with hidden units.
Tyrcha J; Hertz J
Math Biosci Eng; 2014 Feb; 11(1):149-65. PubMed ID: 24245678
[TBL] [Abstract][Full Text] [Related]
12. On the importance of hidden bias and hidden entropy in representational efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines.
Isabekov A; Erzin E
Neural Netw; 2018 Sep; 105():405-418. PubMed ID: 29940489
[TBL] [Abstract][Full Text] [Related]
13. Thermodynamics of the Ising Model Encoded in Restricted Boltzmann Machines.
Gu J; Zhang K
Entropy (Basel); 2022 Nov; 24(12):. PubMed ID: 36554106
[TBL] [Abstract][Full Text] [Related]
14. Refinements of universal approximation results for deep belief networks and restricted Boltzmann machines.
Montufar G; Ay N
Neural Comput; 2011 May; 23(5):1306-19. PubMed ID: 21299421
[TBL] [Abstract][Full Text] [Related]
15. Phase diagram of restricted Boltzmann machines and generalized Hopfield networks with arbitrary priors.
Barra A; Genovese G; Sollich P; Tantari D
Phys Rev E; 2018 Feb; 97(2-1):022310. PubMed ID: 29548112
[TBL] [Abstract][Full Text] [Related]
16. Outperforming RBM Feature-Extraction Capabilities by "Dreaming" Mechanism.
Fachechi A; Barra A; Agliari E; Alemanno F
IEEE Trans Neural Netw Learn Syst; 2022 Jun; PP():. PubMed ID: 35724278
[TBL] [Abstract][Full Text] [Related]
17. Self-consistent signal-to-noise analysis of Hopfield model with unit replacement.
Aonishi T; Komatsu Y; Kurata K
Neural Netw; 2010 Dec; 23(10):1180-6. PubMed ID: 20621446
[TBL] [Abstract][Full Text] [Related]
18. The emergence of a concept in shallow neural networks.
Agliari E; Alemanno F; Barra A; De Marzo G
Neural Netw; 2022 Apr; 148():232-253. PubMed ID: 35158159
[TBL] [Abstract][Full Text] [Related]
19. Storing cycles in Hopfield-type networks with pseudoinverse learning rule: admissibility and network topology.
Zhang C; Dangelmayr G; Oprea I
Neural Netw; 2013 Oct; 46():283-98. PubMed ID: 23872430
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]