Dynamical analysis of contrastive divergence learning: Restricted Boltzmann machines with Gaussian visible units
暂无分享,去创建一个
[1] Erkki Oja,et al. Principal components, minor components, and linear neural networks , 1992, Neural Networks.
[2] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[3] Paul Smolensky,et al. Information processing in dynamical systems: foundations of harmony theory , 1986 .
[4] Geoffrey E. Hinton,et al. Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine , 2010, NIPS.
[5] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[6] Andrzej Cichocki,et al. Stability Analysis of Learning Algorithms for Blind Source Separation , 1997, Neural Networks.
[7] Shun-ichi Amari,et al. Unified stabilization approach to principal and minor components extraction algorithms , 2001, Neural Networks.
[8] John B. Moore,et al. Global analysis of Oja's flow for neural networks , 1994, IEEE Trans. Neural Networks.
[9] Wei-Yong Yan,et al. Global convergence of Oja's subspace algorithm for principal component extraction , 1998, IEEE Trans. Neural Networks.
[10] Erkki Oja,et al. Neural Networks, Principal Components, and Subspaces , 1989, Int. J. Neural Syst..
[11] Michael E. Tipping,et al. Probabilistic Principal Component Analysis , 1999 .
[12] Christopher K. I. Williams,et al. An analysis of contrastive divergence learning in gaussian boltzmann machines , 2002 .
[13] Yoshua Bengio,et al. Justifying and Generalizing Contrastive Divergence , 2009, Neural Computation.
[14] Shotaro Akaho,et al. Information Geometry of Contrastive Divergence , 2008, ITSL.
[15] Erkki Oja,et al. The nonlinear PCA learning rule in independent component analysis , 1997, Neurocomputing.
[16] Miguel Á. Carreira-Perpiñán,et al. On Contrastive Divergence Learning , 2005, AISTATS.
[17] E. Oja,et al. Independent Component Analysis , 2013 .
[18] Geoffrey E. Hinton. A Practical Guide to Training Restricted Boltzmann Machines , 2012, Neural Networks: Tricks of the Trade.
[19] Laurenz Wiskott,et al. Gaussian-binary restricted Boltzmann machines for modeling natural image statistics , 2014, PloS one.
[20] Surya Ganguli,et al. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks , 2013, ICLR.
[21] Kurt Hornik,et al. Neural networks and principal component analysis: Learning from examples without local minima , 1989, Neural Networks.
[22] Ilya Sutskever,et al. On the Convergence Properties of Contrastive Divergence , 2010, AISTATS.
[23] Honglak Lee,et al. Sparse deep belief net model for visual area V2 , 2007, NIPS.
[24] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[25] S.-I. Amari,et al. Neural theory of association and concept-formation , 1977, Biological Cybernetics.
[26] Alan L. Yuille,et al. The Convergence of Contrastive Divergences , 2004, NIPS.