Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
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[1] Miklós Ajtai,et al. ∑11-Formulae on finite structures , 1983, Ann. Pure Appl. Log..
[2] Geoffrey E. Hinton,et al. A Learning Algorithm for Boltzmann Machines , 1985, Cogn. Sci..
[3] J. Håstad. Computational limitations of small-depth circuits , 1987 .
[4] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[5] Eric Allender,et al. Circuit Complexity before the Dawn of the New Millennium , 1996, FSTTCS.
[6] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[7] Geoffrey E. Hinton,et al. Exponential Family Harmoniums with an Application to Information Retrieval , 2004, NIPS.
[8] Gerald Tesauro,et al. Practical issues in temporal difference learning , 1992, Machine Learning.
[9] Pascal Vincent,et al. Non-Local Manifold Parzen Windows , 2005, NIPS.
[10] Nicolas Le Roux,et al. The Curse of Highly Variable Functions for Local Kernel Machines , 2005, NIPS.
[11] Miguel Á. Carreira-Perpiñán,et al. On Contrastive Divergence Learning , 2005, AISTATS.
[12] Yoshua Bengio,et al. Greedy Layer-Wise Training of Deep Networks , 2006, NIPS.
[13] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[14] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[15] Marc'Aurelio Ranzato,et al. Efficient Learning of Sparse Representations with an Energy-Based Model , 2006, NIPS.
[16] Max Welling Donald,et al. Products of Experts , 2007 .
[17] Jason Weston,et al. Large-scale kernel machines , 2007 .
[18] Yoshua Bengio,et al. Scaling learning algorithms towards AI , 2007 .
[19] Geoffrey E. Hinton,et al. Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure , 2007, AISTATS.
[20] Geoffrey E. Hinton. Reducing the Dimensionality of Data with Neural , 2008 .
[21] Josephine Yu,et al. An implicitization challenge for binary factor analysis , 2010, J. Symb. Comput..