Dagstuhl Seminar Proceedings, Volume 7161,

• Luc De Raedt, Thomas Dietterich, Lise Getoor, Kristian Kersting, and Stephen H. Muggleton 07161 Abstracts Collection – Probabilistic, Logical and Relational Learning - A Further Synthesis 10.4230/DagSemProc.07161.1
• Barbara Hammer, Alessio Micheli, and Alessandro Sperduti A general framework for unsupervised preocessing of structured data 10.4230/DagSemProc.07161.2
• Sriraam Natarajan, Prasad Tadepalli, and Alan Fern Exploiting prior knowledge in Intelligent Assistants - Combining relational models with hierarchies 10.4230/DagSemProc.07161.3
• Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, and Leslie Pack Kaelbling Learning Probabilistic Relational Dynamics for Multiple Tasks 10.4230/DagSemProc.07161.4
• Luke S. Zettlemoyer, Hanna M. Pasula, and Leslie Pack Kaelbling Logical Particle Filtering 10.4230/DagSemProc.07161.5
• Pedro Domingos and Parag Singla Markov Logic in Infinite Domains 10.4230/DagSemProc.07161.6
• James Cussens Model equivalence of PRISM programs 10.4230/DagSemProc.07161.7
• Peter Flach and Edson Matsubara On classification, ranking, and probability estimation 10.4230/DagSemProc.07161.8
• Nicolas Baskiotis and Michele Sebag Structural Sampling for Statistical Software Testing 10.4230/DagSemProc.07161.9
• Taisuke Sato, Yoshitaka Kameya, and Kenichi Kurihara Variational Bayes via Propositionalization 10.4230/DagSemProc.07161.10