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Bibliography

1
Bishop, C.M. 1995. Training with noise is equivalent to Tikhonov regularization. Neural Computation 7 (1), pp.108-116.

2
Doob, J.L. 1953. Stochastic Processes. (New edition 1990) Wiley, New York.

3
Girosi, F., Jones, M., & Poggio, T. 1995. Regularization Theory and Neural Networks Architectures. Neural Computation 7 (2), pp.219-269.

4
Itzykson, C. & Drouffe, J-M. 1989. Statistical field theory. vol 1 & vol 2, Cambridge University Press, Cambridge, MA.

5
Klir, G.J. & Yuan, B. 1995. Fuzzy Sets and Fuzzy Logic., Prentice Hall, New Jersey.

6
Klir, G.J. & Yuan, B. (Eds.) 1996. Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems, World Scientific, Singapore.

7
Leen, T.K. 1995. From Data Distributions to Regularization in Invariant Learning. Neural Computation 7, pp.974-981.

8
Lemm, J.C. 1995. Inhomogeneous Random Phase Approximation for Nuclear and Atomic Reactions. Annals of Physics 244 (1), pp.136-200 & 201-238.

9
Lemm, J.C. 1996. Prior Information and Generalized Questions. A.I. Memo No. 1598, C.B.C.L. Paper No. 141, Massachusetts Institute of Technology. (Available at http://planck.uni-muenster.de:8080/$\,\tilde {}\,$lemm/)

10
Montvay, I. & Münster, G. 1994. Quantum Fields on a Lattice. Cambridge University Press.

11
Poggio, T.& Girosi, F. 1990. Networks for Approximation and Learning. Proceedings of the IEEE, 78 (9).

12
Rose, K., Gurewitz, E., & Fox, G.C. 1990. Statistical mechanics and phase transitions in clustering. Phys. Rev. Lett. 65, pp.945-948.

13
Tikhonov, A.N. 1963. Solution of incorrectly formulated problems and the regularization method. Soviet Math. Dokl. 4, pp.1035-1038.

14
Wahba, G. 1990. Spline Models for Observational Data. SIAM, Philadelphia.

15
Yuille, A.L.& Kosowski, J.J. 1994. Statistical Physics Algorithm That Converge. Neural Computation 6 (3), pp.341-356.

16
Zhu, S.C.& Mumford, D. 1997. Prior Learning and Gibbs Reaction-Diffusion. IEEE Trans. on Pattern Analysis and Machine Intelligence 19 (11), pp.1236-1250.



Joerg_Lemm 2000-09-22