Dagstuhl Seminar Proceedings: Probabilistic, Logical and Relational Learning 2005

• Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton:
  05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis.
  
• Andrea Passerini, Paolo Frasconi, Luc De Raedt:
  Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting.
  
• Manfred Jaeger:
  Importance Sampling on Relational Bayesian Networks.
  
• Elias Gyftodimos, Peter A. Flach:
  Combining Bayesian Networks with Higher-Order Data Representations.
  
• Tobias Scheffer:
  Multi-View Learning and Link Farm Discovery.
  
• Brian Milch, Bhaskara Marthi, Stuart J. Russell, David Sontag, Daniel L. Ong, Andrey Kolobov:
  BLOG: Probabilistic Models with Unknown Objects.
  
• Taisuke Sato, Yoshitaka Kameya:
  Learning through failure.
  
• Jennifer Neville, David Jensen:
  Leveraging relational autocorrelation with latent group models.
  
• John W. Lloyd, Tim D. Sears:
  An Architecture for Rational Agents.
  
• Nicos Angelopoulos, James Cussens:
  Exploiting independence for branch operations in Bayesian learning of C&RTs.
  
• Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton:
  05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis.