Average Contrastive Divergence for Training Restricted Boltzmann Machines
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[1] Geoffrey E. Hinton. Learning multiple layers of representation , 2007, Trends in Cognitive Sciences.
[2] Tapani Raiko,et al. Parallel tempering is efficient for learning restricted Boltzmann machines , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).
[3] Geoffrey E. Hinton,et al. Using fast weights to improve persistent contrastive divergence , 2009, ICML '09.
[4] Ruslan Salakhutdinov,et al. On the quantitative analysis of deep belief networks , 2008, ICML '08.
[5] Xuesi Ma,et al. Convergence Analysis of Contrastive Divergence Algorithm Based on Gradient Method with Errors , 2015 .
[6] Yoshua Bengio,et al. Justifying and Generalizing Contrastive Divergence , 2009, Neural Computation.
[7] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[8] Geoffrey E. Hinton,et al. An Efficient Learning Procedure for Deep Boltzmann Machines , 2012, Neural Computation.
[9] Hugo Larochelle,et al. Efficient Learning of Deep Boltzmann Machines , 2010, AISTATS.
[10] Yoshua Bengio,et al. Greedy Layer-Wise Training of Deep Networks , 2006, NIPS.
[11] Shotaro Akaho,et al. Information Geometry of Contrastive Divergence , 2008, ITSL.
[12] Ruslan Salakhutdinov,et al. Learning Deep Boltzmann Machines using Adaptive MCMC , 2010, ICML.
[13] Ruifan Li,et al. Deep correspondence restricted Boltzmann machine for cross-modal retrieval , 2015, Neurocomputing.
[14] L. Younes. Parametric Inference for imperfectly observed Gibbsian fields , 1989 .
[15] Christian Igel,et al. Training restricted Boltzmann machines: An introduction , 2014, Pattern Recognit..
[16] Tijmen Tieleman,et al. Training restricted Boltzmann machines using approximations to the likelihood gradient , 2008, ICML '08.
[17] Miguel Á. Carreira-Perpiñán,et al. On Contrastive Divergence Learning , 2005, AISTATS.
[18] Alan L. Yuille,et al. The Convergence of Contrastive Divergences , 2004, NIPS.
[19] Christian Igel,et al. An Introduction to Restricted Boltzmann Machines , 2012, CIARP.
[20] Tapani Raiko,et al. Enhanced Gradient for Training Restricted Boltzmann Machines , 2013, Neural Computation.
[21] Pascal Vincent,et al. Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines , 2010, AISTATS.
[22] Hui Li,et al. Improving mixing rate with tempered transition for learning restricted Boltzmann machines , 2014, Neurocomputing.
[23] Yann LeCun,et al. The mnist database of handwritten digits , 2005 .
[24] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[25] Ilya Sutskever,et al. On the Convergence Properties of Contrastive Divergence , 2010, AISTATS.
[26] Christian Igel,et al. Bounding the Bias of Contrastive Divergence Learning , 2011, Neural Computation.