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. Dagstuhl Seminar Proceedings 05051 Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2006

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Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton: 05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis.
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Andrea Passerini, Paolo Frasconi, Luc De Raedt: Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting.
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Manfred Jaeger: Importance Sampling on Relational Bayesian Networks.
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Elias Gyftodimos, Peter A. Flach: Combining Bayesian Networks with Higher-Order Data Representations.
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Tobias Scheffer: Multi-View Learning and Link Farm Discovery.
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  - conf/dagstuhl/MilchMRSOK05
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Brian Milch, Bhaskara Marthi, Stuart J. Russell, David Sontag, Daniel L. Ong, Andrey Kolobov: BLOG: Probabilistic Models with Unknown Objects.
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Taisuke Sato, Yoshitaka Kameya: Learning through failure.
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Jennifer Neville, David Jensen: Leveraging relational autocorrelation with latent group models.
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  - conf/dagstuhl/LloydS05
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John W. Lloyd, Tim D. Sears: An Architecture for Rational Agents.
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  - conf/dagstuhl/AngelopoulosC05
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Nicos Angelopoulos, James Cussens: Exploiting independence for branch operations in Bayesian learning of C&RTs.
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Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton: 05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis.