  In Inverse subsumption for complete explanatory induction Yamamoto et al.
investigate which inductive logic programming systems can learn a correct
hypothesis $H$ by using the inverse subsumption instead of inverse entailment.
We prove that inductive logic programming system Imparo is complete by inverse
subsumption for learning a correct definite hypothesis $H$ wrt the definite
background theory $B$ and ground atomic examples $E$, by establishing that
there exists a connected theory $T$ for $B$ and $E$ such that $H$ subsumes $T$.
