Abstract is missing.
- 05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a SynthesisLuc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton. [doi]
- Combining Bayesian Networks with Higher-Order Data RepresentationsElias Gyftodimos, Peter A. Flach. [doi]
- BLOG: Probabilistic Models with Unknown ObjectsBrian Milch, Bhaskara Marthi, Stuart J. Russell, David Sontag, Daniel L. Ong, Andrey Kolobov. [doi]
- Multi-View Learning and Link Farm DiscoveryTobias Scheffer. [doi]
- 05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a SynthesisLuc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton. [doi]
- An Architecture for Rational AgentsJohn W. Lloyd, Tim D. Sears. [doi]
- Leveraging relational autocorrelation with latent group modelsJennifer Neville, David Jensen. [doi]
- Learning through failureTaisuke Sato, Yoshitaka Kameya. [doi]
- Kernels on Prolog Proof Trees: Statistical Learning in the ILP SettingAndrea Passerini, Paolo Frasconi, Luc De Raedt. [doi]
- Importance Sampling on Relational Bayesian NetworksManfred Jaeger. [doi]
- Exploiting independence for branch operations in Bayesian learning of C&RTsNicos Angelopoulos, James Cussens. [doi]