Titlebook: Inductive Logic Programming; 6th International Wo Stephen Muggleton Conference proceedings 1997 Springer-Verlag Berlin Heidelberg 1997 indu

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Tamás Horváth,Robert H. Sloan,György Turán The power of the framework is demonstrated by developing simple and transparent evolving algebra models for the Chemical Abstract Machine of Berry and Boudol and for the .-calculus of Milner. Their respective notions of parallelism map directly and faithfully to native concurrency of evolving algeb

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Analyzing and learning ECG waveforms,be used to improve the effectiveness of a real size Prolog application. Applying the IMPUT method, the extended PECG system is able to suggest a correct solution to the user to replace the buggy clause recognized during the debugging process.

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,Efficient θ-subsumption based on graph algorithms,on of the pruning strategy of the Carraghan and Pardalos clique algorithm provides a dramatic reduction of the subsumption search space. We also present empirical results for the mesh design data set.

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Least generalizations under implication,finite set of clauses which contains at least one non-tautologous function-free clause. We can also define implication relative to background knowledge. In this case, least generalizations only exist in a very limited case.

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Learning Logic programs with random classification noise,edge. Also, we show that arbitrary nonrecursive Horn clauses with forest background knowledge remain polynomially PAC learnable in the presence of noise. We point out that the sample size can be decreased by using dependencies among the literals.