On Learning Read-k-Satisfy-j DNF
β Scribed by Aizenstein, Howard; Blum, Avrim; Khardon, Roni; Kushilevitz, Eyal; Pitt, Leonard; Roth, Dan
- Book ID
- 118178150
- Publisher
- Society for Industrial and Applied Mathematics
- Year
- 1998
- Tongue
- English
- Weight
- 331 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0097-5397
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
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 \
Working in the framework of PAC-learning theory, we present special statistics for accomplishing in polynomial time proper learning of DNF boolean formulas having a ΓΏxed number of monomials. Our statistics turn out to be near su cient for a large family of distribution laws -that we call butter y di