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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From Wikipedia, the free encyclopedia. Are grammatical representations useful forlearning from biological sequence data?
Ross Quinlan ‘s FOIL Progol’s search proggol efficient and has a provable guarantee of returning a solution having the maximum “compression” in the search-space. This artificial intelligence -related article is a stub.
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Progol deals with noisy data by using the “compression measure” to trade-off the description of errors against the hypothesis description length. This robotics-related article is a stub. Showing of extracted citations. This paper has highly influenced prlgol papers. Probabilistic Theory Revision from Examples: Muggleton, editor, Inductive Logic Programming….
PROGOL – Wikipedia
Showing of 57 references. Ross Quinlan Machine Learning Views Read Edit View history. The Principles enailment Science: This clause is used to guide a refinement-graph search. Learning logical definitions from relations J. Language identi cation in the limit.
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Inverse entailment and progol
From This Paper Figures, tables, and topics from this paper. Progol is Stephen Muggleton ‘s implementation entalment inductive logic programming used in computer science that combines “Inverse Entailment” with “general-to-specific search” through a refinement graph. References Publications referenced by this paper. The mathematical theory of communication.
The ef- fect of background knowledge in inductive logic programming: Skip to search form Skip to main content.