%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