Statistical Machine Learning Algorithms for Target Classification from Acoustic Signature
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Nicolas Chapados | Yoshua Bengio | Vincent Mirelli | Olivier Delalleau | Stephen Tenney | Yoshua Bengio | Olivier Delalleau | Nicolas Chapados | V. Mirelli | S. Tenney
[1] S. Addelman. Statistics for experimenters , 1978 .
[2] John H. L. Hansen,et al. Discrete-Time Processing of Speech Signals , 1993 .
[3] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[4] D. Bates,et al. Mixed-Effects Models in S and S-PLUS , 2001 .
[5] Michael I. Jordan,et al. On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes , 2001, NIPS.
[6] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[7] Juan Carlos,et al. Review of "Discrete-Time Speech Signal Processing - Principles and Practice", by Thomas Quatieri, Prentice-Hall, 2001 , 2003 .
[8] Geoffrey E. Hinton,et al. Exponential Family Harmoniums with an Application to Information Retrieval , 2004, NIPS.
[9] Guillaume Bouchard,et al. The Tradeoff Between Generative and Discriminative Classifiers , 2004 .
[10] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[11] J. S. Hunter,et al. Statistics for Experimenters: Design, Innovation, and Discovery , 2006 .
[12] Miguel Á. Carreira-Perpiñán,et al. On Contrastive Divergence Learning , 2005, AISTATS.
[13] Yoshua Bengio,et al. Greedy Layer-Wise Training of Deep Networks , 2006, NIPS.
[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] Tom Minka,et al. Principled Hybrids of Generative and Discriminative Models , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[17] Geoffrey E. Hinton,et al. Restricted Boltzmann machines for collaborative filtering , 2007, ICML '07.
[18] Geoffrey E. Hinton,et al. To recognize shapes, first learn to generate images. , 2007, Progress in brain research.
[19] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[20] Tijmen Tieleman,et al. Training restricted Boltzmann machines using approximations to the likelihood gradient , 2008, ICML '08.
[21] Yoshua Bengio,et al. Classification using discriminative restricted Boltzmann machines , 2008, ICML '08.