Comparing Probabilistic Models for Melodic Sequences
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[1] Shlomo Dubnov,et al. Using Machine-Learning Methods for Musical Style Modeling , 2003, Computer.
[2] Honglak Lee,et al. Sparse deep belief net model for visual area V2 , 2007, NIPS.
[3] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[4] Jeremy Pickens,et al. Polyphonic music modeling with random fields , 2003, MULTIMEDIA '03.
[5] Jean-François Paiement,et al. Probabilistic models for music , 2008 .
[6] Yee Whye Teh,et al. A stochastic memoizer for sequence data , 2009, ICML '09.
[7] Alan Smaill,et al. Learning musical pitch structures with hierarchical hidden Markov models , 2005 .
[8] Petri Toiviainen,et al. MIDI toolbox : MATLAB tools for music research , 2004 .
[9] Geoffrey E. Hinton,et al. Modeling Human Motion Using Binary Latent Variables , 2006, NIPS.
[10] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[11] Geoffrey E. Hinton,et al. Factored conditional restricted Boltzmann Machines for modeling motion style , 2009, ICML '09.
[12] D. Eck,et al. Learning Musical Structure Directly from Sequences of Music , 2006 .
[13] Geoffrey E. Hinton,et al. A Learning Algorithm for Boltzmann Machines , 1985, Cogn. Sci..
[14] Dana Ron,et al. The Power of Amnesia , 1993, NIPS.
[15] R. Jackendoff,et al. A Generative Theory of Tonal Music , 1985 .
[16] Geoffrey E. Hinton,et al. Learning Multilevel Distributed Representations for High-Dimensional Sequences , 2007, AISTATS.
[17] Jürgen Schmidhuber,et al. Learning the Long-Term Structure of the Blues , 2002, ICANN.
[18] Geoffrey E. Hinton,et al. Exponential Family Harmoniums with an Application to Information Retrieval , 2004, NIPS.
[19] Honglak Lee,et al. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations , 2009, ICML '09.
[20] Mohammad Norouzi,et al. Stacks of convolutional Restricted Boltzmann Machines for shift-invariant feature learning , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.