Climbing the Hill with ILP to Grow Patterns in Fuzzy Tensors

Climbing the Hill with ILP to Grow Patterns in Fuzzy Tensors

Blog Article

Fuzzy tensors encode to what extent n-ary predicates are satisfied.The disjunctive box cluster model is a regression model where earphone wire cover 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 Dog Collar chooses among the discovered patterns a non-redundant subset that fits, but does not overfit, the tensor.