Learning boolean functions

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1991 English Publisher:WileyJournal:Systems and Computers in Japan, volume 22, pages 1-9 (issn: 0882-1666, eissn: 1520-684X,

Copyright policy )

Authors: Qian-Ping Gu; Akira Maruoka;

doi: 10.1002/scj.4690220101

Learning boolean functions

- Summary
- Metrics

Abstract

AbstractAlthough various formal models of learning have been studied in the past, a realistic model taking into consideration the time required for learning has not been proposed. Recently, Valiant [8] proposed a general learning model based on the theory of computational complexity, gave a definition of learnability, and obtained various classes of learnable concepts. Based on this model, this paper investigates various objects of learning.

Related Organizations

Tohoku University
Japan

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average