Conjunctions of Unate DNF Formulas: Learning and Structure
β Scribed by Aaron Feigelson; Lisa Hellerstein
- Book ID
- 112252324
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 543 KB
- Volume
- 140
- Category
- Article
- ISSN
- 0890-5401
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 \
## Abstract Learning from examples in the presence of overwhelmingly many irrelevant variables has been studied in the field of machine learning theory, where the learner is required to derive as succinct hypotheses as possible. In this paper, we consider the following computational learning proble