%0 Journal Article
%T A fuzzified BRAIN algorithm for learning DNF from incomplete data
%A Ciro Russo
%A Salvatore Rampone
%J -
%D 2012
%R DOI Code: 10.1285/i20705948v5n2p256
%X Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (Uncertainty-managing Batch Relevance-based Artificial INtelligence), conceived for learning DNF Boolean formulas from partial truth tables, possibly with uncertain values or missing bits
%K Boolean function
%K DNF
%K Learning algorithm
%K Missing Values.
%U http://siba-ese.unisalento.it/index.php/ejasa/article/view/11409