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Occam's razor for functions
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Source Annual Workshop on Computational Learning Theory archive
Proceedings of the sixth annual conference on Computational learning theory table of contents
Santa Cruz, California, United States
Pages: 370 - 376  
Year of Publication: 1993
ISBN:0-89791-611-5
Author
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 15,   Downloads (12 Months): 24,   Citation Count: 6
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Ar, S, Lipton, R, Rubenfeld, R., and Sudan M., (1992). Reconstructing algebraic functions from mixed data, Proc. 33rd IEEE FOCS, pp.503-511.
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Berlekamp, E., and Welch, L., (1970). Error correction of algebraic block codes, U.S. Patent No. 4,633,470.
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Feller, W, (1957). Intro. to Prob. Theory and its Applications, John WHey, New York.
 
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Haussler, D., (1989). Generali~ng the PAC model for neural net and other learning applications, Proc. 30th IEEE FOCS, pp. 40-45.
 
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Imai, H., and Iri, M. (1986). An optimal algorithm for approximating a piecewise linear function. J. of Information Processing, Vol. 9, No. 3, pp. 159-162.
 
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Jazwinsld, A.H, (1970). Stochastic Processes and Filtering Theory, Academic Press, New York.
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Kearns M, and Schaplre, IL E, (1990). Efficient distribution-free learning of probabilistic concepts, Proc. IEEE FOCS, pp. 382-391.
 
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Krishnan, V, (1984). Non-Linear Filtering and Smoothing, John Wiley, New York.
 
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Natarajan, B.K., (1993). Filtering random noise via data compression, IEEE Data Compression Conference, pp.6049..
 
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Natar~an, B.K, and Ruppert, J, (1992). On sparse approximations to curves and functions. Proc. 4th Canadian Conf. on Comp. Geom., pp.250-257.
 
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Oppenheim, A.V, and Schafer, IL, (1974). Digital Signal Processing, Prentice Hall, Englewood Cliffs, NJ. Papoulis, A. (1965). Probability, Random Variables and Stochastic Processes. McGraw Hill, New York.
 
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Pollard, D., (1984). Convergence of Stochastic Processes, Springer Verlag, New York.
 
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Suri, S., (1988). On some link distance problems in a simple polygon. IEEE Trans. on Robotics and Automation, Vol.6, No.l, pp.108-113.