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.
CITATION STYLE
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
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