Institute for Computer Science

Kristian Kersting

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Co-Chair/Co-Organizer

Program Commitee Member

Reviewing

Invited Talks

  • "Probabilistic Logic Learning and Reasoning" at BeNeLearn 2005: Fourteenth Annual Machine Learning Conference of Belgium and the Netherlands, University of Twente, Enschede, The Netherlands, February 17 -18, 2005.

Tutorials

Others

Projects

  • May 01, 2004 - :
    APrIL, "Application of Probabilistic Inductive Logic Programming II" (APrIL II), Contract no. FP6-508861

  • October 01, 2001 - May 30, 2002 :
    APrIL, "Application of Probabilistic Inductive Logic Programming" (APrIL), IST-2001-33053

(Co-) Supervised Master Theses

  • Ingo Thon, "Dynamic Probabilistic Models over Interpretations", current.
  • Angelika Kimmig, "Learning Stochastic Logic Programs.", 2005.
  • Bernd Gutmann, "Relational Conditional Random Fields (for Logical Sequences)", 2005.
  • Alexandru Cocora, "Learning Relational Navigation Policies", 2005.
  • Joerg Fischer, "Asynchronous Relational Value Iteration", 2005.
  • Tayfun Guerel, "Naive Graph Labelling", 2005.
  • Steven Ganzert, "Using Equation Discovery for Finding ARDS-Lung Models: A Case Study", 2003.
  • Livia Predoiu, "Bayes'sche Datalog Programme", 2003.

(Co-) Supervised Student Research Projects

  • Philipp Grebel, "Spectral Clustering of Phone Call Graphs", current.
  • Uwe Dick, "Relational Fisher Kernels", 2005.
  • Hans-Martin Schultze, "Information Extraction with LOHMMs Learned by Stochastic Optimization", 2005.
  • Bernd Gutmann, "Relational Influence Diagrams", 2005.
  • Alexandru Cocora, "Discriminative Learning for Logical Sequences", 2004.
  • Ingo Thon, "Logical Markov Models", 2004.
  • Christian Stolle, "Learning from Random SAT", 2004.
  • Gerrit Merkel, "Information Extraction using Logical Hidden Markov Models", 2003.
  • Joerg Fischer, "SCGEM - A Fast Acceleration of EM", 2003.
  • Victoria Polzer, "Learning Patterns for Information Extraction with TILDE: A Case Study on Chemical Abstracts", 2003.
  • Niels Landwehr, "EM and Gradient-Based Learning of Bayesian Networks: A Case Study", 2002.
  • Steven Ganzert, "Analyse von Daten einer klinischen Multicenterstudie zur mechanischen Beatmung von Adult Respiratory Distress Syndrome (ARDS) - Patienten mit Methoden der Knowledge Discovery in Databases (KDD)", 2001.

Other Activities




Kristian Kersting, Dec. 2005