Dagstuhl Seminar Proceedings: Probabilistic, Logical and Relational Learning - A Further Synthesis 2007

• Nicolas Baskiotis, Michèle Sebag:
  Structural Sampling for Statistical Software Testing.
  
• Taisuke Sato, Yoshitaka Kameya, Kenichi Kurihara:
  Variational Bayes via Propositionalization.
  
• Sriraam Natarajan, Prasad Tadepalli, Alan Fern:
  Exploiting prior knowledge in Intelligent Assistants - Combining relational models with hierarchies.
  
• Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, Leslie Pack Kaelbling:
  Learning Probabilistic Relational Dynamics for Multiple Tasks.
  
• Barbara Hammer, Alessio Micheli, Alessandro Sperduti:
  A general framework for unsupervised preocessing of structured data.
  
• Peter A. Flach, Edson Takashi Matsubara:
  On classification, ranking, and probability estimation.
  
• Pedro Domingos, Parag Singla:
  Markov Logic in Infinite Domains.
  
• James Cussens:
  Model equivalence of PRISM programs.
  
• Luke S. Zettlemoyer, Hanna M. Pasula, Leslie Pack Kaelbling:
  Logical Particle Filtering.
  
• Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton:
  07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis.
  

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