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Titlebook: Inductive Logic Programming; 27th International C Nicolas Lachiche,Christel Vrain Conference proceedings 2018 Springer International Publis

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Parallel Inductive Logic Programming System for Superlinear Speedup,ures of our ILP learning system and parallel mechanism. The redesigned ILP learning system searches and gathers all rules that have the same evaluation. The redesigned parallel mechanism adds a communication protocol for sharing the evaluation of the identified rules, thereby realizing superlinear s
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Pruning Hypothesis Spaces Using Learned Domain Theories,otheses that are equivalent to already considered hypotheses. The distinguishing feature of our method is that we use learned domain theories to check for equivalence, in contrast to existing approaches which only prune isomorphic hypotheses. Specifically, we use such learned domain theories to satu
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ior undergrad or first-year graduate students. It is also suitable for self-study by anyone seeking a solid footing in security – including software developers and computing professionals, technical managers and government staff. An overriding focus is on brevity, without sacrificing breadth of core
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Laura Antanas,Anton Dries,Plinio Moreno,Luc De Raedtwould wish to be rid of if you did know. Nuggets of potentially sensitive information scattered about your computer include bits of deleted files, parts of documents created or opened, leftovers from chats in IRC or IM, temporary files, browser pages, URLs and cookies from Web sites you’ve visited,
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