Jun 16, 2017 · Abstract:Inductive Logic Programming (ILP) combines rule-based and statistical artificial intelligence methods, by learning a hypothesis ...
Nov 30, 2017 · We focus on extending the XHAIL algorithm for ILP which is based on Answer Set Programming and we evaluate our extensions using the Natural ...
We focus on extending the XHAIL algorithm for ILP which is based on Answer Set Programming and we evaluate our extensions using the Natural Language Processing ...
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As contributions we extend XHAIL with (i) a pruning mechanism within the hypothesis generalisation algorithm which enables learning from larger datasets, (ii) a ...
Nov 30, 2017 · Pruning in hypothesis generalization algorithm enables learning from larger dataset.Using latest optimization methods for better usage of ...
Improving scalability of inductive logic programming via pruning and best-effort optimisation. EXPERT SYSTEMS WITH APPLICATIONS, 87, 291–303. doi:10.1016/j ...
In Section 4 we describe the XHAIL system and our exten- sions of pruning, best-effort optimisation, and further improve- ments. Section 5 gives details of ...
Best-effort inductive logic programming via fine-grained cost ... Improving scalability of inductive logic programming via pruning and best-effort optimisation.
Best-effort inductive logic programming via fine-grained cost ... Improving scalability of inductive logic programming via pruning and best-effort optimisation.