J. Neves et E. Smirnov, PARAMETRIC VERSION SPACE APPROACH TO CONCEPT-LEARNING, Journal of computer & systems sciences international, 37(5), 1998, pp. 708-728
Citations number
25
Categorie Soggetti
Computer Science Theory & Methods","Computer Science Artificial Intelligence","Computer Science Cybernetics","Computer Science Theory & Methods","Computer Science Artificial Intelligence","Computer Science Cybernetics
This paper presents a parametric version space approach to concept lea
rning. The approach is intended for concept learning tasks that an cha
racterized with different extents of expressiveness of the concept lan
guages with respect to the example ones. This allows one to overcome t
he isolated use of the basic version space approaches and to enable it
to be applied in the broad spectrum of concept learning tasks.