Selected papers that cite this one
- Edoardo Amaldi and Viggo Kann. On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems. Theoretical Computer Science, 209(1-2):237-260, 6 December 1998.
- Dana Angluin and Michael Kharitonov. When won't membership queries help? Journal of Computer and System Sciences, 50(2):336-355, April 1995.
- Avrim Blum, Prasad Chalasani, Sally A. Goldman, and Donna K. Slonim. Learning with unreliable boundary queries. Journal of Computer and System Sciences, 56(2):209-222, April 1998.
- Carlos Domingo, Tatsuie Tsukiji, and Osamu Watanabe. Partial Occam's Razor and its applications. Information Processing Letters, 64(4):179-185, 28 November 1997.
- Michael Frazier, Sally Goldman, Nina Mishra, and Leonard Pitt. Learning from a consistently ignorant teacher. Journal of Computer and System Sciences, 52(3):471-492, June 1996.
- Yoav Freund. Boosting a weak learning algorithm by majority. Information and Computation, 121(2):256-285, September 1995.
- Yoav Freund, Michael Kearns, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, and Linda Sellie. Efficient learning of typical finite automata from random walks. Information and Computation, 138(1):23-48, 10 October 1997.
- Sally A. Goldman, Michael J. Kearns, and Robert E. Schapire. On the sample complexity of weakly learning. Information and Computation, 117(2):276-287, March 1995.
- D. Haussler, N. Littlestone, and M. K. Warmuth. Predicting {0,1}-functions on randomly drawn points. Information and Computation, 115(2):248-292, December 1994.
- Michael Kearns and Yishay Mansour. On the boosting ability of top-down decision tree learning algorithms. In Proceedings of the Twenty-Eighth Annual ACM Symposium on the Theory of Computing, pages 459-468, Philadelphia, Pennsylvania, 22-24 May 1996.
- Michael Kearns, Yishay Mansour, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, and Linda Sellie. On the learnability of discrete distributions (extended abstract). In Proceedings of the Twenty-Sixth Annual ACM Symposium on the Theory of Computing, pages 273-282, Montréal, Québec, Canada, 23-25 May 1994.
- Moni Naor. Evaluation may be easier than generation (extended abstract). In Proceedings of the Twenty-Eighth Annual ACM Symposium on the Theory of Computing, pages 74-83, Philadelphia, Pennsylvania, 22-24 May 1996.
- Moni Naor and Omer Reingold. Number-theoretic constructions of efficient pseudo-random functions (extended abstract). In 38th Annual Symposium on Foundations of Computer Science, pages 458-467, Miami Beach, Florida, 20-22 October 1997. IEEE.
- Pekka Orponen. Neural networks and complexity theory. Nordic Journal of Computing, 1(1):94-110, Spring 1994.
- Ronald L. Rivest and Robert E. Schapire. Diversity-based inference of finite automata. Journal of the ACM, 41(3):555-589, May 1994.
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