Title
The capacity of majority rule
Abstract
Let B-n = {-1,1}(n) denote the vertices of the n-dimensional cube. Let U(m) be a random m-element subset of B-n and suppose w is an element of B-n is a vertex closest to the centroid of U(m). Using a large deviation, multivariate local limit theorem due to Richter, we show that n/pi log n is a threshold function for the property that the convex hull of U(m) is contained in the positive half-space determined by w. The decision problem considered here is an instance of binary integer programming, and the algorithm selecting w as the vertex closest to the centroid of U(m) has been previously dubbed majority rule in the context of learning binary weights for a perceptron. (C) 1998 John Wiley & Sons, Inc.
Year
DOI
Venue
1998
3.3.CO;2-#" target="_self" class="small-link-text"10.1002/(SICI)1098-2418(199801)12:13.3.CO;2-#
Random Struct. Algorithms
Keywords
Field
DocType
majority rule,perceptron,capacity
Binary integer programming,Discrete mathematics,Combinatorics,Majority rule,Perceptron,Mathematics,Threshold function
Journal
Volume
Issue
ISSN
12
1
1042-9832
Citations 
PageRank 
References 
3
0.48
2
Authors
2
Name
Order
Citations
PageRank
Shao C. Fang1134.86
Santosh S. Venkatesh238171.80