=Paper=
{{Paper
|id=None
|storemode=property
|title=Statistical Relational Learning using ProbLog
|pdfUrl=https://ceur-ws.org/Vol-992/paper1.pdf
|volume=Vol-992
|dblpUrl=https://dblp.org/rec/conf/esws/Raedt13
}}
==Statistical Relational Learning using ProbLog==
<pdf width="1500px">https://ceur-ws.org/Vol-992/paper1.pdf</pdf>
<pre>
  Statistical Relational Learning using ProbLog
                                – Invited Talk –

                                    Luc De Raedt

                          Department of Computer Science
                                   KU Leuven
                                     Belgium
                           luc.deraedt@cs.kuleuven.be



      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
      called ProbLog 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

</pre>