Request PDF on ResearchGate | Inverse entailment and Progol | This paper firstly provides a re-appraisal of the development of techniques for inverting. Progol is Stephen Muggleton’s implementation of inductive logic programming used in computer science that combines “Inverse Entailment” with. Progol is implemented in C and available by anonymous ftp. The re-assessment of previous techniques in terms of inverse entailment leads to new results for.
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References Publications referenced by this paper. Artificial intelligence stubs Robotics stubs Inductive logic programming Logic inevrse languages. Retrieved from ” https: Use dmy dates from September All stub articles.
Muggleton, editor, Inductive Logic Programming….
Showing of extracted citations. Progol deals with noisy data by using the “compression measure” to trade-off the description of errors against the hypothesis description length. Progol allows arbitrary Prolog programs as background knowledge and arbitrary definite clauses as examples. Showing of 57 references. The mathematical theory of communication.
Learning logical definitions from relations J.
Inverse entailment and progol
Probabilistic Theory Revision from Examples: Ross Quinlan ‘s FOIL Progol’s search is efficient and has a provable guarantee rpogol returning a solution having the maximum “compression” in the search-space.
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Topics Discussed in This Paper. This robotics-related article is a stub. Citations Publications citing this paper. Progol is Stephen Muggleton ‘s implementation of inductive logic programming used in computer science that combines “Inverse Entailment” with “general-to-specific search” through a refinement graph. From This Paper Figures, tables, and topics from this paper. Entailjent page was last edited on 24 Septemberat The ef- fect of background knowledge in inductive logic programming: Progol is implemented in C and available by anonymous ftp.
This artificial intelligence -related article is a stub. Extensions of inversion of resolution applied to theory com- pletion. A learnability model for universal representa- tions.
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From Wikipedia, the free encyclopedia. This paper has highly influenced other papers. Languages Deutsch Edit links. Ross Quinlan Machine Learning The Iverse of Science: