Sequential neural text compression

IEEE Transactions on Neural Networks

Volumn 7, Issue 1, 1996, Pages 142-146

  Schmidhuber, Jürgen ^a   Heil, Stefan ^b  

^a IDISA   (Switzerland)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DATA COMPRESSION; ENCODING (SYMBOLS); LEARNING SYSTEMS; PROBABILITY;

PREDICTIVE NEURAL NETS; SEQUENTIAL NEURAL TEXT COMPRESSION; STATISTICAL CODING;

NEURAL NETWORKS;

EID: 0029732478     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.478398     Document Type: Article

References (13)

1. T. C. Bell, J. G. Cleary, and I. H. Witten, Text Compression. Englewood Cliffs, NJ: Prentice-Hall, 1990.
2. G. Held, Data Compression. New York: Wiley, 1991.
3. S. Lindstadt, "Comparison of two unsupervised neural network models for redundancy reduction," in M. C. Mozer, P. Smolensky, D. S. Touretzky, J. L. Elman, and A. S. Weigend, Eds., in Proc. 1993 Connectionist Models Summer School, 1993, pp. 308-315.
4. D. E. Rumelhart, G. E. Hinton, and R. J. Williams, "Learning internal representations by error propagation." in Parallel Distributed Processing, vol. 1. Cambridge, MA: MIT Press, 1986, pp. 318-362.
5. J. H. Schmidhuber, "Learning complex, extended sequences using the principle of history compression." Neural Computa., vol. 4, no 2, pp. 234-242, 1992.
6. _, "Learning factorial codes by predictability minimization," Neural Computa., vol. 4, no. 6, pp. 863-879, 1992.
7. _, "Learning unambiguous reduced sequence descriptions," in Advances in Neural Information Processing Systems 4, J. E. Moody, S. J. Hanson, and R. P. Lippman, Eds. San Mateo, CA: Morgan Kaufmann, 1992, pp. 291-298.
8. J. H. Schmidhuber, M. C. Mozer, and D. Prelinger, "Continuous history compression," in H. Hüning, S. Neuhauser, M. Raus, and W. Ritschel, Eds., Proc. Int. Wkshp. Neural Networks, RWTH Aachen, 1993, pp. 87-95.
9. J. H. Schmidhuber and D. Prelinger, "Discovering predictable classifications," Neural Computa., vol. 5, no. 4, pp. 625-635, 1993.
10. P. J. Werbos, "Beyond regression: New tools for prediction and analysis in the behavioral sciences," Ph.D. dissertation, Harvard Univ., 1974.
11. I. H. Witten, R. M. Neal, and J. G. Cleary, "Arithmetic coding for data compression," Commun. ACM, vol. 30, no. 6, pp. 520-540, 1987.
12. A. Wyner and J. Ziv, "Fixed data base version of the Lempel-Ziv data compression algorithm," IEEE Trans. Inform. Theory, vol. 37, pp. 878-880, 1991.
13. J. Ziv and A. Lempel, "A universal algorithm for sequential data compression," IEEE Trans. Inform. Theory, vol. IT-23, no. 5, pp. 37-343, 1977.