These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
136 related articles for article (PubMed ID: 24684449)
1. Direct learning of sparse changes in Markov networks by density ratio estimation. Liu S; Quinn JA; Gutmann MU; Suzuki T; Sugiyama M Neural Comput; 2014 Jun; 26(6):1169-97. PubMed ID: 24684449 [TBL] [Abstract][Full Text] [Related]
2. A Multiobjective Sparse Feature Learning Model for Deep Neural Networks. Gong M; Liu J; Li H; Cai Q; Su L IEEE Trans Neural Netw Learn Syst; 2015 Dec; 26(12):3263-77. PubMed ID: 26340790 [TBL] [Abstract][Full Text] [Related]
3. Estimation of distribution algorithms with Kikuchi approximations. Santana R Evol Comput; 2005; 13(1):67-97. PubMed ID: 15901427 [TBL] [Abstract][Full Text] [Related]
5. Adaptive importance sampling for value function approximation in off-policy reinforcement learning. Hachiya H; Akiyama T; Sugiayma M; Peters J Neural Netw; 2009 Dec; 22(10):1399-410. PubMed ID: 19216050 [TBL] [Abstract][Full Text] [Related]
6. Markov models for fMRI correlation structure: Is brain functional connectivity small world, or decomposable into networks? Varoquaux G; Gramfort A; Poline JB; Thirion B J Physiol Paris; 2012; 106(5-6):212-21. PubMed ID: 22326672 [TBL] [Abstract][Full Text] [Related]
7. A new machine learning classifier for high dimensional healthcare data. Padman R; Bai X; Airoldi EM Stud Health Technol Inform; 2007; 129(Pt 1):664-8. PubMed ID: 17911800 [TBL] [Abstract][Full Text] [Related]
8. Potts model based on a Markov process computation solves the community structure problem effectively. Li HJ; Wang Y; Wu LY; Zhang J; Zhang XS Phys Rev E Stat Nonlin Soft Matter Phys; 2012 Jul; 86(1 Pt 2):016109. PubMed ID: 23005493 [TBL] [Abstract][Full Text] [Related]
9. A spiking neural network model of an actor-critic learning agent. Potjans W; Morrison A; Diesmann M Neural Comput; 2009 Feb; 21(2):301-39. PubMed ID: 19196231 [TBL] [Abstract][Full Text] [Related]
10. Exponential stabilization of delayed recurrent neural networks: A state estimation based approach. Huang H; Huang T; Chen X; Qian C Neural Netw; 2013 Dec; 48():153-7. PubMed ID: 24055957 [TBL] [Abstract][Full Text] [Related]
11. Factorial hidden Markov models and the generalized backfitting algorithm. Jacobs RA; Jiang W; Tanner MA Neural Comput; 2002 Oct; 14(10):2415-37. PubMed ID: 12396569 [TBL] [Abstract][Full Text] [Related]
12. A new backpropagation learning algorithm for layered neural networks with nondifferentiable units. Oohori T; Naganuma H; Watanabe K Neural Comput; 2007 May; 19(5):1422-35. PubMed ID: 17381272 [TBL] [Abstract][Full Text] [Related]
13. Learning to track multiple targets. Liu X; Tao D; Song M; Zhang L; Bu J; Chen C IEEE Trans Neural Netw Learn Syst; 2015 May; 26(5):1060-73. PubMed ID: 25051561 [TBL] [Abstract][Full Text] [Related]
14. Global exponential estimates of delayed stochastic neural networks with Markovian switching. Huang H; Huang T; Chen X Neural Netw; 2012 Dec; 36():136-45. PubMed ID: 23124276 [TBL] [Abstract][Full Text] [Related]
15. A neural network model for generating complex birdsong syntax. Katahira K; Okanoya K; Okada M Biol Cybern; 2007 Dec; 97(5-6):441-8. PubMed ID: 17965875 [TBL] [Abstract][Full Text] [Related]
17. Latent feature kernels for link prediction on sparse graphs. Nguyen CH; Mamitsuka H IEEE Trans Neural Netw Learn Syst; 2012 Nov; 23(11):1793-804. PubMed ID: 24808073 [TBL] [Abstract][Full Text] [Related]
18. A model for learning to segment temporal sequences, utilizing a mixture of RNN experts together with adaptive variance. Namikawa J; Tani J Neural Netw; 2008 Dec; 21(10):1466-75. PubMed ID: 18938059 [TBL] [Abstract][Full Text] [Related]
19. Random sampler M-estimator algorithm with sequential probability ratio test for robust function approximation via feed-forward neural networks. El-Melegy MT IEEE Trans Neural Netw Learn Syst; 2013 Jul; 24(7):1074-85. PubMed ID: 24808522 [TBL] [Abstract][Full Text] [Related]