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2006
- K. Kersting. B. Gutmann. Unbiased Conjugate Direction
Boosting for Conditional Random Fields. Short paper to
appear in T. Gärtner, G. C. Garriga, T. Meinl, editors, Working
Notes of the ECML-06 Workshop on Mining and Learning with Graphs
(MLG 2006), Berlin, Germany, September 18th, 2006.
- A. Karwath, K. Kersting. Relational Sequence
Alignment. Short paper to appear in T. Gärtner, G. C.
Garriga, T. Meinl, editors, Working Notes of the ECML-06 Workshop
on Mining and Learning with Graphs (MLG 2006), Berlin, Germany,
September 18th, 2006.
- M. Jaeger, K. Kersting, L. De Raedt. Expressivity
Analysis for PL-Languages. In A. Fern, L. Getoor, and B.
Milch, editors, Working Notes of the ICML-06 Workshop "Open
Problems in Statistical Relational Learning" (SRL-06),
Pittsburgh, USA, June 29, 2006.
2005
- L. Calzone, N. Chabrier-Rivier, F. Fages, L. Gentils, S.
Soliman. Machine learning bio-molecular interactions from
temporal logic properties. In G. Plotkin, editor,
Proceedings of the Third Workshop on Computational Methods in
Systems Biology (CMSB'05), 2005
- A. Passerini, P. Frasconi, L. De Raedt. Kernels on
Prolog Proof Trees: Statistical Learning in the ILP
Setting. ICML '05 Workshop on Approaches and
Applications of Inductive Programming, 2005.
- A. Passerini, P. Frasconi, L. De Raedt. Kernels for
Logic Proof Trees. In Proceedings of Dagstuhl Seminar
05051: Probabilistic, Logical and Relational Learning --- Towards
a Synthesis, Dagstuhl, Germany, 2005. On invitation.
- P. Frasconi, A. Passerini, S. Muggleton, H. Lodhi.
Declarative Kernels. In S. Kramer and B.
Pfahringer, eds., Late-Breaking Papers of the 15th International
Conference on inductive Logic Programming (ILP 05), Bonn,
Germany, 2005.
- N. Chabrier-Rivier, F. Fages, S. Soliman, L. Calzone.
Learning transition rules from temporal logic
properties. INRIA Research Report 5543, April
2005.
- T. Guerel, K. Kersting. On the Trade-Off Between
Iterative Classification and Collective Classification: First
Experimental Results. In S. Nijssen, T. Meinl, and G.
Karypis, editors, Working Notes of the Third International
ECML/PKDD- Workshop on Mining Graphs, Trees and Sequences
(MGTS-05), Porto, Portugal, October 7, 2005.
2004
- N. Chabrier-Rivier, F. Fages, S. Soliman. The
Biochemical Abstract Machine BIOCHAM. In P. Amar and
J.-P. Cornet F. Képès, V. Norris, editors, Proceedings of the
Evry Spring School on Modelling and Simulation of Biological
Processes in the Context of Genomics, pages 35-49, Platypus
Press, 2004.
- P. Ingram. A Study of the Predictive Power of the FAM
Algorithm. Imperial College MSc project report,
2004.
- N. Angelopoulos, J. Cussens. Extended stochastic
logic programs for informative priors over C&RTs. In
R. Camacho, R. King, and A. Srinivasan, editors, Proceedings of
the work-in-progress track of the Fourteenth International
Conference on Inductive Logic Programming (ILP-04), pages 7-11,
Porto, September 2004.
- N. Angelopoulos, J. Cussens. On the implementation of
MCMC proposals over stochastic logic programs. In
Colloquium on Implementation of Constraint and LOgic Programming
Systems. Satellite workshop to ICLP'04, Saint-Malo, France,
2004.
- M. Van Otterlo, K. Kersting. Challenges for
Relational Reinforcement Learning. In P. Tadepalli, R.
Givan, K. Driessens, editors, Working Notes of the ICML-2004
Workshop on Relational Reinforcement Learning (RRL-04). Banff,
Alberta, Canada, July 8, 2004.
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- M. Chavira, A. Darwiche, M. Jaeger. Compiling
Relational Bayesian Networks for Exact Inference. In P.
Lucas, L. van der Gaag, Proceedings of the second European
Workshop on Graphical Models (PGM-04), pages 49-56. Lorentz
Centre, Leiden, The Netherlands, 4-8 October 2004.
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