A fuzzified BRAIN algorithm for learning DNF from incomplete data

Authors

  • Salvatore Rampone Università del Sannio
  • Ciro Russo Università degli Studi di Salerno

DOI:

https://doi.org/10.1285/i20705948v5n2p256

Keywords:

Boolean function, DNF, Learning algorithm, Missing Values.

Abstract

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.

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Published

14-10-2012

Issue

Vol. 5 No. 2 (2012): Electronic Journal of Applied Statistical Analysis.

Section

Original Paper

License

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