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Statistical Relational Learning using ProbLog

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Statistical Relational Learning using ProbLog

– Invited Talk –

Luc De Raedt

Department of Computer Science KU Leuven

Belgium

[email protected]

Abstract. This talk shall introduce the field of statistical relational learning, which is concerned with the use of expressive relational rep- resentations, reasoning about uncertainty and learning. Techniques in this domain are well suited for addressing some of the challenges of the workshop.

I shall illustrate several of the issues using the probabilistic Prolog system calledProbLog that was developed over the past few years in Leuven.

I shall use ProbLog to illustrate issues concerning the representation of semantic knowledge, the challenge of inference and methods for the learn- ing of parameters and rules. Furthermore, some applications in biological network mining and analysis will be presented.

Keywords: Relational Learning, Statistical Relational Learning, Uncertainty Reasoning, Probabilistic Methods

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