Identification of partial disjunction, parity, and threshold functions

Citation
R. Uehara et al., Identification of partial disjunction, parity, and threshold functions, THEOR COMP, 230(1-2), 2000, pp. 131-147
Citations number
15
Categorie Soggetti
Computer Science & Engineering
Journal title
THEORETICAL COMPUTER SCIENCE
ISSN journal
03043975 → ACNP
Volume
230
Issue
1-2
Year of publication
2000
Pages
131 - 147
Database
ISI
SICI code
0304-3975(20000106)230:1-2<131:IOPDPA>2.0.ZU;2-N
Abstract
Let F be a class of functions obtained by replacing some inputs of a Boolea n function of a fixed type with some constants. The problem considered in t his paper, which is called attribute efficient learning, is to identify "ef ficiently" a Boolean function g out of F by asking for the value of g at ch osen inputs, where "efficiency" is measured in terms of the number of essen tial variables. We study the query complexity of attribute-efficient learni ng for three function classes that are, respectively, obtained from disjunc tion, parity, and threshold functions. In many cases, we obtain almost opti mal upper and lower bound on the number of queries. (C) 2000 Elsevier Scien ce B.V. All rights reserved.