Algorithms for Learning by Distances (2001)

Cached

Download Links

by Ronit Fraiman , Shai Ben-david
Venue:Information and Computation
Citations:13 - 0 self

Documents Related by Co-Citation

1696 A Theory of the Learnable – L. G. Valiant - 1984
288 Efficient noise-tolerant learning from statistical queries – Michael Kearns - 1998
219 Learning from noisy examples – Dana Angluin, Philip D Laird - 1987
649 Queries and concept learning – D Angluin - 1987
47 Types of noise in data for concept learning – Robert H Sloan - 1988
45 General Bounds on Statistical Query Learning and PAC Learning with Noise via Hypothesis Boosting – Javed A. Aslam, Scott E. Decaturt - 1993
168 Learning in the Presence of Malicious Errors – Michael Kearns, Ming Li - 1993
118 Weakly Learning DNF and Characterizing Statistical Query Learning Using Fourier Analysis – Avrim Blum, Merrick Furst, Jeffrey Jackson, Michael Kearns, Yishay Mansour, Steven Rudich - 1994
163 An Efficient Membership-Query Algorithm for Learning DNF with Respect to the Uniform Distribution – Jeffrey C. Jackson - 1994
118 Learning disjunctions of conjunctions – L G Valiant - 1985
630 Learnability and the vapnikchervonenkis dimension – A Blumer, A Ehrenfeucht, D Haussler, M K Warmuth - 1989
419 Boosting a Weak Learning Algorithm By Majority – Yoav Freund - 1995
19 Learning From Examples With Unspecified Attribute Values – Sally A. Goldman, Stephen S. Kwek, Stephen D. Scott - 1998
279 Constant depth circuits, Fourier transform, and learnability – N Linial, Y Mansour, N Nisan - 1993
195 A general lower bound on the number of examples needed for learning – A Ehrenfeucht, D Haussler, M Kearns, L Valiant - 1988
372 Decision theoretic generalizations of the PAC model for neural net and other learning applications – D Haussler
35 Can PAC Learning Algorithms Tolerate Random Attribute Noise? – Sally A. Goldman, Robert H. Sloan - 1995
14 Learnability with restricted focus of attention guarantees noise-tolerance – S Ben-David, E Dichterman - 1994
197 Efficient Distribution-free Learning of Probabilistic Concepts – Michael J. Kearns, Robert E. Schapire - 1993