Appendix

Neural Information Processing Systems 

The supplementary material is organized as follows. In section A, we provide a proof that there is no polynomial-time algorithm for the problem of computing minimum δ-sufficient reasons (unless PTIME = NP), even when δ is a fixed value. In section B, we provide a proof that there is no polynomial-time algorithm for the problem of computing minimal δ-sufficient reasons (unless PTIME = NP). In particular, we define in this section a decision problem that we prove to be NP-hard in Section B.1, and then we show in Section B.2 that this decision problem can be solved in polynomial-time if there exists a polynomial-time algorithm for the problem of computing minimal δ-sufficient reasons. In Section C, we provide a proof that minimum and minimal δ-sufficient reasons can be computed in polynomial-time when the split number (defined in Section 5.1) is bounded. Finally, we provide in Section D a proof of Lemma 1, which completes the proof of tractability of the problem of computing minimal δ-sufficient reasons for each class of monotone Boolean models for which the problem of counting positive completions can be solved in polynomial time.

Similar Docs  Excel Report  more

TitleSimilaritySource
None found