5 citations · 8 across the 12 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.LG2019
Induction of Non-monotonic Logic Programs To Explain Statistical Learning Models
Farhad Shakerin
We present a fast and scalable algorithm to induce non-monotonic logic programs from statistical learning models. We reduce the problem of search for best clauses to instances of t…
cs.LG2019★ 2 cited
Induction of Non-Monotonic Rules From Statistical Learning Models Using High-Utility Itemset Mining
Farhad Shakerin, Gopal Gupta
We present a fast and scalable algorithm to induce non-monotonic logic programs from statistical learning models. We reduce the problem of search for best clauses to instances of t…