Titlebook: Inductive Logic Programming; 9th International Wo Sašo Džeroski,Peter Flach Conference proceedings 1999 Springer-Verlag Berlin Heidelberg 1

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Refinement Operators Can Be (Weakly) Perfectct to syntactical restrictions in the form of input/output variable declarations (like in Progol). Since unfortunately no such optimal refinement operators exist, we settle for a weaker form of optimality and introduce an associated weaker form of subsumption which exactly captures a first incomplet

Simulate

commute

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Morphosyntactic Tagging of Slovene Using Progolibutes such as gender and case. In the case of Slovene there are 2,083 possible MSDs. P-Progol was used to learn morphosyntactic disambiguation rules from annotated data (consisting of 161,314 examples) produced by the MULTEXT-East project. P-Progol produced 1,148 rules taking 36 hours. Using simple

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排斥

1BC: A First-Order Bayesian Classifiertructural predicates referring to subterms (e.g. atoms from molecules), and properties applying to one or several of these subterms (e.g. a bond between two atoms). We describe an individual in terms of elementary features consisting of zero or more structural predicates and one property; these feat

ostensible

Sorted Downward Refinement: Building Background Knowledge into a Refinement Operator for Inductive Lprisingly, no serious attempts have been made to account for background knowledge in refinement operators for clauses, even though such operators are one of the most important, prominent and widely-used devices in the field. This paper shows how a sort theory, which encodes taxonomic knowledge, can

lipids

A Strong Complete Schema for Inductive Functional Logic Programmingperational semantics of (FLP) performs a infication (mgu) followed by a replacement, we introduce two main operators in our IFLP schema: a generalisation and an inverse replacement or property of equality. We prove that this schema is . complete in tha way that, given some evidence, it is possible t

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