REFERENCES AND FURTHER READING

Andreeva A, Howorth D, Chandonia JM, Brenner SE, Hubbard TJ, Chothia C, Murzin AG. (2008). Data growth and its impact on the SCOP database: New developments. Nucleic Acids Res. 36(Suppl 1): D419-D425.

Breiman L, Friedman J, Stone CJ, Olshen RA. (1984). Classification and Regression Trees, Boca Raton, FL.: CRC press.

Ding CH, Dubchak I. (April 2001). Multi-class protein fold recognition using support vector machines and neural networks. Bioinformatics 17(4):349-358.

Hinton GE, Dayan P, Frey BJ, Neal RM. (1995). The “wake-sleep” algorithm for unsupervised neural networks. Science 268(5214):1158-1161.

Kelley LA, Sternberg MJ. (2009). Protein structure prediction on the Web: A case study using the Phyre server. Nat. Protoc. 4(3):363-371.

Karatzoglou A, Smola A, Hornik K, Zeileis A. (2004). kernlab—An S4 Package for Kernel Methods in R. J. Stat. Software 11(9):1-20.

Krizhevsky A, Sutskever I, Hinton GE. (2012). ImageNet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems, pp. 1097-1105.

Le Cun Y, Boser B, Denker JS, Henderson D, Howard RE, Hubbard W, Jackel LD et al. (1990). Hand-written digit recognition with a back-propagation network. In Advances in Neural Information Processing Systems, pp. 396-404.

Poultney C, Chopra S, Cun YL. (2006). Efficient learning of sparse representations with an energy-based model. In Advances in Neural Information Processing Systems, pp. 1137-1144.

 
Source
< Prev   CONTENTS   Source   Next >