|
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.
| |
1
|
|
| |
2
|
|
| |
3
|
Ar, S, Lipton, R, Rubenfeld, R., and Sudan M., (1992). Reconstructing algebraic functions from mixed data, Proc. 33rd IEEE FOCS, pp.503-511.
|
 |
4
|
|
| |
5
|
Berlekamp, E., and Welch, L., (1970). Error correction of algebraic block codes, U.S. Patent No. 4,633,470.
|
 |
6
|
|
| |
7
|
Feller, W, (1957). Intro. to Prob. Theory and its Applications, John WHey, New York.
|
| |
8
|
|
| |
9
|
Haussler, D., (1989). Generali~ng the PAC model for neural net and other learning applications, Proc. 30th IEEE FOCS, pp. 40-45.
|
| |
10
|
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.
|
| |
11
|
Jazwinsld, A.H, (1970). Stochastic Processes and Filtering Theory, Academic Press, New York.
|
 |
12
|
|
| |
13
|
Kearns M, and Schaplre, IL E, (1990). Efficient distribution-free learning of probabilistic concepts, Proc. IEEE FOCS, pp. 382-391.
|
| |
14
|
Krishnan, V, (1984). Non-Linear Filtering and Smoothing, John Wiley, New York.
|
| |
15
|
|
| |
16
|
|
| |
17
|
Natarajan, B.K., (1993). Filtering random noise via data compression, IEEE Data Compression Conference, pp.6049..
|
| |
18
|
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.
|
| |
19
|
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.
|
| |
20
|
Pollard, D., (1984). Convergence of Stochastic Processes, Springer Verlag, New York.
|
| |
21
|
|
| |
22
|
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.
|
CITED BY 6
|
|
|
|
|
Peter L. Bartlett , Philip M. Long , Robert C. Williamson, Fat-shattering and the learnability of real-valued functions, Proceedings of the seventh annual conference on Computational learning theory, p.299-310, July 12-15, 1994, New Brunswick, New Jersey, United States
|
|
|
|
|
|
|
|
|
|
|
|
|
|