PAC Learning Intersections of Halfspaces with Membership Queries
โ Scribed by S. Kwek; L. Pitt
- Publisher
- Springer
- Year
- 1998
- Tongue
- English
- Weight
- 323 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0178-4617
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
We show that halfspaces in n dimensions can be PAC-learned with respect to the uniform distribution with accuracy ฮต and confidence ฮด using O( 1 ฮต (n + log 1 ฮด )) examples.
We present a membership-query algorithm for efficiently learning DNF with respect to the uniform distribution. In fact, the algorithm properly learns with respect to uniform the class TOP of Boolean functions expressed as a majority vote over parity functions. We also describe extensions of this alg
This paper presents an algorithm that uses equivalence and membership queries to learn the class of \(k\)-term DNF formulas in time \(n \cdot 2^{o(k)}\), where \(n\) is the number of input variables. This improves upon previous \(O\left(n^{k}\right)\) bounds and allows one to learn DNF formulas of \