Unsupervised learning by examples: On-line versus off-line

Physical Review Letters

Volumn 76, Issue 12, 1996, Pages 2188-2191

  Van den Broeck, C ^a   Reimann, R ^a  

^a HASSELT UNIVERSITY   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 4243451914     PISSN: 00319007     EISSN: 10797114     Source Type: Journal    
DOI: 10.1103/PhysRevLett.76.2188     Document Type: Article

References (22)

1. G. Györgyi and N. Tishby, Neural Networks and Spin Glasses, W. Theumann and R. Koberle (World Scientific, Singapore, 1990).
2. J. Hertz, A. Krogh, and R. G. Palmer, Introduction to the Theory of Neural Computing (Addison-Wesley, Reading, MA, 1991).
3. H. S. Seung, H. Sompolinksy, and N. Tishby, Phys. Rev. A, 45: 6056 (1992). PLRAAN
4. T. L. H. Watkin, A. Rau, and M. Biehl, Rev. Mod. Phys., 65: 499 (1993). RMPHAT
5. M. Opper and W. Kinzel, in Physics of Neural Networks III, E. Domany, J. L. Van Hemmen, and K. Schulten (Springer, Berlin,1994).
6. C. Van den Broeck, Act. Phys. Pol. B, 25: 903 (1994). APOBBB
7. M. Bouten, J. Schietse, and C. Van den Broeck, Phys. Rev. E, 52: 1958 (1995). PLEEE8
8. A. Engel, Mod. Phys. Lett B, 8: 1683 (1994). IJPBEV
9. O. Kinouchi and N. Caticha, J. Phys. A, 25: 6243 (1992). JPHAC5
10. M. Copelli and N. Caticha, J. Phys. A, 28: 1615 (1995). JPHAC5
11. M. Copelli, O. Kinouchi, and N. Caticha, “Equivalence Between On-Line Learning in Perceptrons with Noisy Examples and Committee Machines,” Universidad de Sao Paulo, 1995 (to be published).
12. M. Biehl and A. Mietzner, Europhys. Lett., 24: 421 (1993)
13. M. Biehl and A. Mietzner, J. Phys. A, 27: 1885 (1994). JPHAC5
14. M. Biehl and A. Mietzner, J. Phys. A, 27: 1885 (1994). JPHAC5
15. P. Reimann and C. Van den Broeck “Learning by Examples from a Non-Uniform Distribution” [Phys. Rev. E (to be published)]. PLEEE8
16. T. L. H. Watkin and J.-P. Nadal, J. Phys. A, 27: 1899 (1994). JPHAC5
17. E. Barkai and I. Kanter, Europhys. Lett., 14: 107 (1991). EULEEJ
18. G. J. Bex, R. Serneels, and C. Van den Broeck, Phys. Rev. E, 51: 6309 (1995). PLEEE8
19. M. Biehl, P. Riegler, and M. Stechert, “Learning from Noisy Data: An exactly Solvable Model,” University of Wuerzburg (to be published).
20. O. Kinouchi and N. Caticha, “A Learning Algorithm which Gives the Bayes Generalization Limit for Perceptrons,” Universidad de Sao Paulo, 1995 (to be published).
21. J. M. R. Parrondo and C. Van den Broeck, J. Phys. A, 26: 2211 (1993). JPHAC5
22. M. Griniasty, Phys. Rev. E, 47: 4496 (1993). PLEEE8