Greedy Layer-Wise Training of Deep Networks
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Yoshua Bengio | Hugo Larochelle | Pascal Lamblin | Dan Popovici | Yoshua Bengio | H. Larochelle | Pascal Lamblin | D. Popovici
[1] J. Håstad. Computational limitations of small-depth circuits , 1987 .
[2] Christian Lebiere,et al. The Cascade-Correlation Learning Architecture , 1989, NIPS.
[3] Geoffrey E. Hinton,et al. The "wake-sleep" algorithm for unsupervised neural networks. , 1995, Science.
[4] Régis Lengellé,et al. Training MLPs layer by layer using an objective function for internal representations , 1996, Neural Networks.
[5] Eric Allender,et al. Circuit Complexity before the Dawn of the New Millennium , 1996, FSTTCS.
[6] Paul Mineiro,et al. A Monte Carlo EM Approach for Partially Observable Diffusion Processes: Theory and Applications to Neural Networks , 2002, Neural Computation.
[7] Paul E. Utgoff,et al. Many-Layered Learning , 2002, Neural Computation.
[8] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[9] Alan F. Murray,et al. Continuous restricted Boltzmann machine with an implementable training algorithm , 2003 .
[10] Geoffrey E. Hinton,et al. Exponential Family Harmoniums with an Application to Information Retrieval , 2004, NIPS.
[11] Gerald Tesauro,et al. Practical issues in temporal difference learning , 1992, Machine Learning.
[12] Nicolas Le Roux,et al. Convex Neural Networks , 2005, NIPS.
[13] Nicolas Le Roux,et al. The Curse of Highly Variable Functions for Local Kernel Machines , 2005, NIPS.
[14] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[15] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[16] Yoshua Bengio,et al. Scaling learning algorithms towards AI , 2007 .