Titlebook: Inductive Logic Programming; 17th International C Hendrik Blockeel,Jan Ramon,Prasad Tadepalli Conference proceedings 2008 Springer-Verlag B

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N斯巴达人

OMIT

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A Phase Transition-Based Perspective on Multiple Instance Kernelsor Relational Learning. The so-called phase transition framework, originally developed for constraint satisfaction problems, has been extended to relational learning and it has provided relevant insights into the limitations and difficulties thereof. The goal of this paper is to examine relational S

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Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimatesve Logic Programming (ILP). We propose a new SRL algorithm, GleanerSRL, to generate the probability that an example is positive within highly-skewed relational domains. In this work, we combine clauses from Gleaner, an ILP algorithm for learning a wide variety of first-order clauses, with the propos

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Applying Inductive Logic Programming to Process Miningdel in a language that allows the checking of the compliance of a process execution (or trace) to the model. In this paper we propose a language for the representation of process models that is inspired to the SCIFF language and is an extension of clausal logic. A process model is represented in the

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群居男女

Foundations of Refinement Operators for Description Logicsnguages in the Semantic Web, it is important to acquire a thorough understanding of the theoretical potential and limitations of using refinement operators within the description logic paradigm. In this paper, we present a comprehensive study which analyses desirable properties such operators should

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A Relational Hierarchical Model for Decision-Theoretic Assistancek, a domain-independent decision-theoretic model of assistance was proposed, where the task is to infer the user’s goal and take actions that minimize the expected cost of the user’s policy. In this paper, we extend this work to domains where the user’s policies have rich relational and hierarchical

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lity for the role of a general framework for modeling concurrent computation. As a basic tool we introduce a ‘modal’ logic of transition rules and runs, which is, in the context of evolving algebras, just a definitional extension of ordinary first order logic. A notion of independence of rules and r