A better upper bound on weights of exact threshold functions

1Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

A Boolean function is called an exact threshold function if it decides whether the input vector χ ∈ {0,1}n is on a hyperplane wT χ = t (w ∈ ℤn, t ∈ ℤ). In this paper we study the upper bound of elements in w required to represent any exact threshold function. Let k be the dimension of the linear subspace spanned by Boolean points on wT χ = t. We first give an upper bound O(n k) for constant k, which matches the lower bound in [2]. Then we prove an upper bound O(ko(k2)nk) for general cases, improving the result min{n2k, nn/2+1 in [2]. © 2011 Springer-Verlag.

Cite

CITATION STYLE

APA

Chen, X., Hu, G., & Sun, X. (2011). A better upper bound on weights of exact threshold functions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6648 LNCS, pp. 124–132). https://doi.org/10.1007/978-3-642-20877-5_13

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free