Learning Disjunctions: Near-Optimal Trade-off between Mistakes and “I Don't Knows”

We develop polynomial-time online algorithms for learning disjunctions while trading off between the number of mistakes and the number of “I don't know” answers. In this model, we are given an online adversarial sequence of inputs for an unknown function of the form f(x1, x2,..., xn) = Viεs[sup...

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Bibliographic Details
Main Authors: Demaine, Erik D., Zadimoghaddam, Morteza
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Society for Industrial and Applied Mathematics 2014
Online Access:http://hdl.handle.net/1721.1/86204
https://orcid.org/0000-0003-3803-5703