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Dagstuhl Seminar Proceedings: Probabilistic, Logical and Relational Learning 2005
- Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen H. Muggleton:
Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January - 4. February 2005. Dagstuhl Seminar Proceedings 05051, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2006 - Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen H. 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 Russell, David A. Sontag, Daniel L. Ong, Andrey Kolobov:
BLOG: Probabilistic Models with Unknown Objects. - Taisuke Sato, Yoshitaka Kameya:
Learning through failure. - Jennifer Neville, David D. 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 H. Muggleton:
05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis.
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