Climbing the Hill with ILP to Grow Patterns in Fuzzy Tensors
Lucas José Carneiro Maciel, Jônatas M. Alves, Vinícius Fernandes dos Santos, Loïc Cerf · International Journal of Computational Intelligence Systems · 2020
Fuzzy tensors encode to what extent n-ary predicates are satisfied.The disjunctive box cluster model is a regression model where sub-tensors are explanatory variables for the values in the fuzzy tensor.In this article, locally optimal patterns for that model, with high areas times squared densities, are grown by hill-climbing from fragments of them.A forward selection then chooses among the discovered patterns a non-redundant subset that fits, but does not overfit, the tensor.