Dagstuhl Seminar Proceedings: Probabilistic, Logical and Relational Learning 2005
Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton (Eds.): Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January - 4. February 2005. Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2006 Dagstuhl Seminar Proceedings 05051- 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.
- 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.
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last updated on 2013-10-17T202759 by the dblp team