Rule-based learning

Prof. Higgins' Ph.D. research concerned information theoretic extraction of conjunctive rules from databases, applied both to discrete classification and function approximation. The function approximator was used to learn a nonlinear control system. You can find more information below. This kind of research could lead to computer systems which learn and can explain what they learned!

Last Updated: Sunday, 04 November 2012 19:04

Related articles