Noise Tolerant Algorithms for Learning and Searching
| dc.contributor.advisor | Rivest, Ronald L. | en_US |
| dc.contributor.author | Aslam, Javed Alexander | en_US |
| dc.date.accessioned | 2023-03-29T15:25:00Z | |
| dc.date.available | 2023-03-29T15:25:00Z | |
| dc.date.issued | 1995-02 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/149801 | |
| dc.description.abstract | We consider the problem of developing robust algorithms which cope with noisy data. In the Probably Approximately Correct model of machine learning, we develop a general technique which allows nearly all PAC learning algorithms to be converted into highly | en_US |
| dc.relation.ispartofseries | MIT-LCS-TR-657 | |
| dc.title | Noise Tolerant Algorithms for Learning and Searching | en_US |
